Matching Comparison Research Articles

Lenalidomide-based triplet regimens in first relapsed multiple myeloma patients: real-world evidence from a propensity score matched analysis.

Lenalidomide and dexamethasone (Rd)-based triplets, in particular carfilzomib-Rd (KRd) and daratumumab-Rd (DaraRd), represent a standard of care in lenalidomide-sensitive multiple myeloma (MM) patients in first relapse. Meta-analysis of randomized clinical trials (RCT), suggested better outcome with DaraRd. Trying to address this issue in clinical practice, we collected data of 430 consecutive MM patients addressed to Rd-based triplets in first relapse between January 2017 and March 2021. Overall, the most common used regimen was DaraRd, chosen in almost half of the cases (54.4%), followed by KRd (34.6%). Different triplets were used much less commonly. In an attempt to limit the imbalance of a retrospective analysis, we conducted a propensity score matching (PSM) comparison between DaraRd and KRd. After PSM, efficacy of DaraRd versus KRd was similar in terms of overall-response rate (ORR) (OR: 0.9, P=0.685) as well as of very good partial response (VGPR) or better (OR: 0.9, P=0.582). The median progression-free survival (PFS) was significantly longer for DaraRd (29.8 vs. 22.5 months; P=0.028). DaraRd was tolerated better, registering a lower rate of grade 3-4 non-hematological toxicity (OR: 0.4, P<0.001). With the limitations of any retrospective analysis, our real-life PSM comparison between DaraRd and KRd, in first-relapse MM patients, showed better tolerability and prolonged PFS of DaraRd, although with some gaps of performance, in particular of DaraRd, with respect to RCT. Carfilzomib-containing regimens, like KRd, still remain a valid second-line option in the emerging scenario of first-line daratumumab-based therapy.

The Impact of Race-Ethnicity and Diagnosis of Alzheimer's Disease and Related Dementias on Mammography Use.

Simple SummaryAnalyzing real-world data from the OneFlorida+ Clinical Research Network, we examined the impact of ADRD diagnosis and race–ethnicity on mammography use in breast cancer screening (BCS)-eligible women. We found that BCS-eligible women with Alzheimer’s disease (AD) and AD-related dementias (ADRD) were more likely to undergo a mammography than the BCS-eligible women without ADRD. Stratified by race–ethnicity, BCS-eligible Hispanic women with ADRD were more likely to undergo a mammography, whereas BCS-eligible non-Hispanic black and non-Hispanic other women with ADRD were less likely to undergo a mammography.Breast cancer screening (BCS) with mammography is a crucial method for improving cancer survival. In this study, we examined the association of Alzheimer’s disease (AD) and AD-related dementias (ADRD) diagnosis and race–ethnicity with mammography use in BCS-eligible women. In the real-world data from the OneFlorida+ Clinical Research Network, we extracted a cohort of 21,715 BCS-eligible women with ADRD and a matching comparison cohort of 65,145 BCS-eligible women without ADRD. In multivariable regression analysis, BCS-eligible women with ADRD were more likely to undergo a mammography than the BCS-eligible women without ADRD (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.13–1.26). Stratified by race–ethnicity, BCS-eligible Hispanic women with ADRD were more likely to undergo a mammography (OR = 1.56, 95% CI = 1.39–1.75), whereas BCS-eligible non-Hispanic black (OR = 0.72, 95% CI = 0.62–0.83) and non-Hispanic other (OR = 0.65, 95% CI = 0.45–0.93) women with ADRD were less likely to undergo a mammography. This study was the first to report the impact of ADRD diagnosis and race–ethnicity on mammography use in BCS-eligible women using real-world data. Our results suggest ADRD patients might be undergoing BCS without detailed guidelines to maximize benefits and avoid harms.

Covariate Balance for Observational Effectiveness Studies: A Comparison of Matching and Weighting

Propensity score matching and weighting methods are often used in observational effectiveness studies to reduce imbalance between treated and untreated groups on a set of potential confounders. However, much of the prior methodological literature on matching and weighting has yet to examine performance for scenarios with a majority of treated units, as is often encountered with programs and interventions that have been widely disseminated or “scaled-up.” Using a series of Monte Carlo simulations, we compare the performance of k:1 matching with replacement and weighting methods with respect to covariate balance, bias, and mean squared error. Results indicate that the accuracy of all methods declined as treatment prevalence increased. While weighting produced the largest reduction in covariate imbalance, 1:1 matching with replacement provided the most unbiased treatment effect estimates. An applied example using empirical school-level data is provided to further illustrate the application and interpretation of these methods to a real-world scale-up effort. We conclude by considering the implications of propensity score methods for observational effectiveness studies with a particular focus on educational research.

Home management of COVID-19 symptomatic patients: a safety study on COVID committed home medical teams.

To reduce the overburden in the hospital, during the COVID-19 pandemic, some "COVID Committed Home Medical Teams" (CCHTs) were created in Italy. These units consist of a small pool of general practitioners who aim to evaluate all patients with COVID-19 who require a medical examination directly at home. After the first visit (which can end with patient hospitalisation or home management), CCHTs periodically monitor the patients' clinical conditions and vital signs (usually a revaluation every 24-48 hours, except for a sudden worsening). However, this strategy - which reduces the pressure on hospitals - has never been evaluated for patient safety. Our study aims to determine whether a home-based monitoring and treatment strategy for non-severe COVID-19 patients was safe as direct hospital admission by the emergency department. We conducted a retrospective observational study about 1,182 patients admitted to the hospital for COVID-19 between September 2020 and April 2021, confronting in-hospital and 30-day mortality in both CCHT-referred (n=275) and directly admitted by emergency department (n=907). Patients assessed by the CCHT had lower in-hospital and 30-day mortality (18% vs 28%, p=0.001; and 20% vs 30%, p=0.002); but, in the propensity score matching comparison, there was no characteristic between the two groups turned out significantly different. CCHT did not correlate with in-hospital or 30-day mortality. CCHT is a safe strategy to reduce hospital overburden for COVID-19 during pandemic surges.

Early Hemodynamic Outcomes in Self-Expandable Valves: Comparison of ACURATE Neo Versus ACURATE Neo2

BackgroundComparisons of hemodynamic results between ACURATE Neo and ACURATE Neo 2, which have updated outer sealing skirts, are limited. This retrospective study aimed to demonstrate the differences in hemodynamic outcomes between the two transcatheter heart valves (THVs). MethodsWe included 449 patients who underwent transfemoral transcatheter aortic valve replacement (TAVR) with either ACURATE Neo2 (n = 100) or ACURATE Neo (n = 348) between January 2016 and November 2021. The primary endpoint was the incidence of moderate or severe paravalvular leakage (PVL). The mean aortic pressure gradient (APG), peak aortic velocity (AV), and early clinical outcomes were assessed as secondary outcomes. ResultsIn the propensity-score matching comparison (94 pairs), there were no significant differences in the incidence of moderate or severe PVL (4.3 % in Neo2 group vs. 8.5 % in Neo group, p = 0.233), and peak AV and mean APG were significantly higher in Neo2 group (Peak AV: 2.1 ± 0.4 vs. 1.9 ± 0.5 m/s, p = 0.003; mean APG: 10.6 ± 4.8 vs. 9.0 ± 6.1 mmHg, p = 0.045). In the multivariate logistic regression analysis, the THV type (ACURATE Neo2) was not an independent predictor of moderate or severe PVL. ConclusionThe incidence of moderate or severe PVL did not significantly differ between TAVR with ACURATE Neo2 and ACURATE Neo; however, it was numerically lower in ACURATE Neo2. In contrast, the Neo2 group had a higher residual mean APG and peak AV. A larger study with long-term follow-up is warranted to assess the clinical relevance of these findings.

Indirect covariate balance and residual confounding: An applied comparison of propensity score matching and cardinality matching.

Propensity score matching (PSM) is subject to limitations associated with limited degrees of freedom and covariate overlap. Cardinality matching (CM), an optimization algorithm, overcomes these limitations by matching directly on the marginal distribution of covariates. This study compared the performance of PSM and CM. Comparative cohort study of new users of angiotensin-converting enzyme inhibitor (ACEI) and β-blocker monotherapy identified from a large U.S. administrative claims database. One-to-one matching was conducted through PSM using nearest-neighbor matching (caliper=0.15) and CM permitting a maximum standardized mean difference (SMD) of 0, 0.01, 0.05, and 0.10 between comparison groups. Matching covariates included 37 patient demographic and clinical characteristics. Observed covariates included patient demographics, and all observed prior conditions, drug exposures, and procedures. Residual confounding was assessed based on the expected absolute systematic error of negative control outcome experiments. PSM and CM were compared in terms of post-match patient retention, matching and observed covariate balance, and residual confounding within a 10%, 1%, 0.25% and 0.125% sample group. The eligible study population included 182 235 (ACEI: 129363; β-blocker: 56872) patients. CM achieved superior patient retention and matching covariate balance in all analyses. After PSM, 1.6% and 28.2% of matching covariates were imbalanced in the 10% and 0.125% sample groups, respectively. No significant difference in observed covariate balance was observed between matching techniques. CM permitting a maximum SMD <0.05 was associated with improved residual bias as compared to PSM. We recommend CM with more stringent balance criteria as an alternative to PSM when matching on a set of clinically relevant covariates.

Simple Stenting Strategy with or without Branch Ostial Optimization Technique for Treatment of Coronary Bifurcation Lesions.

A simple stenting strategy with provisional side-branch (SB) stenting or crossover stenting has been recommended as the default approach for most coronary bifurcation lesions (CBLs). The proximal optimization technique (POT) and POT-associated techniques (POTAs) were introduced to optimize the ostium of SB. However, these techniques are unable to remove the jailed struts or completely diminish vessel damage. In this study we developed a novel branch ostial optimization technique (BOOT) and assessed its efficacy and safety by a propensity score matching comparison (PSM) with POT-associated techniques (POTA). From June 2016 to March 2018, a total of 203 consecutive patients with true CBLs were treated with BOOT (50 patients) or POTA stenting (153 patients). We performed PSM to correct for confounders from clinical and lesion characteristics. The primary endpoint was cumulative major adverse cardiac events (MACE) at 12 months including cardiac death, non-fatal myocardial infarction, and target vessel/lesion revascularization (TVR/TLR) or target vessel/lesion thrombosis (ST). After PSM, there were 43 patients in each group. Follow-up coronary angiography was performed in 77 (89.5%) patients. At 12 months, the angiographic restenosis rate was significantly different between the BOOT group and the POTA group after PSM (proximal main branch: 20.01 11.33% vs. 26.81 14.02%, p = 0.003; distal main branch: 18.07 3.71% vs. 23.44 10.78%, p = 0.006; side branch: 23.53 10.12% vs. 39.01 10.29%, p 0.001, respectively). The incidence of MACE at 12 months was not different between the BOOT group before PSM (8.0% vs. 11.8%, p = 0.604), but less frequent after PSM (4.7% vs. 23.3%, p = 0.026) when compared with the POTA group, mainly due to TVR/TLR (2.3% vs. 20.9%, p = 0.015). In patients with CBLs, BOOT is feasible for optimization of the SB ostium and may be superior to POTAs in terms of the angiographic measurements and long-term clinical outcomes at 12 months follow-up.

The Impact on Job-Quality of Firm-Level Support to Innovation: Evidence from Natural Experiment Conditions and Linked Employer-Employee Data in Portugal.

Public support to firm-level investments in innovation is one of the main mechanisms through which the European Union promotes socioeconomic convergence among regions and the creation of quality jobs is considered a necessary condition for the convergence of disadvantaged regional economies. This paper exploits the availability of natural experiment conditions and linked employer-employee microdata in Portugal to offer empirical evidence on the impact on relevant job-quality outcomes of a large EU-cohesion-policy program to support SMEs' innovation investments. The analysis is implemented by means of stratification/coarsened exact matching model, combined with a difference in difference scheme, suitable to the specific impact identification conditions. Our results indicate that the policy intervention in Portugal had a positive impact on job-quality outcomes, with each supported firm generating an average of 4.9 additional standard-working-time jobs, +2.9 skilled jobs, and +2.0 permanent-contract jobs, compared to a counterfactual scenario of no public support. These impacts were at a cost of about 16,100€, 27,100€ and 39,400€ in public subsidies per additional job, respectively. We also estimate that the program impact was responsible for a 2.20€ (+17.8%) increase of the per-hour remuneration. These findings are robust to sensitivity analysis, in terms of alternative matching procedures and comparison groups, and they highlight the fact that increasing job-quality is a policy goal that can be pursued, at a reasonable cost, also by means of cohesion-policy support to innovation aimed at enhancing the competitiveness of SMEs.JEL classification: O1; R5; C23.

Research on pricing strategy of online education products considering consumers' matching degree and price comparison behavior

PurposeThe uncertainty of consumers' perceived value makes online education enterprises face great challenge in developing the pricing strategy. So the purpose of this paper is to research the pricing strategies of online education products by considering knowledge consumers' characteristics.Design/methodology/approachConsidering consumer matching degree and price comparison, this study establishes the utility functions of consumers in normal sales period and discount selling period. On this basis, the research builds pricing models of the online education enterprise under the strategy of price undertaking and intertemporal pricing strategy. It further discusses the impact of consumer matching degree, consumer price sensitivity and different types of consumers on the product price and profit of online education enterprises, and reveals the optimal pricing strategy of the enterprise.FindingsConsumer matching degree and price sensitivity coefficient have positive effects on product price and enterprise profit, but they have different effects on product demand; there are differences in the perceived value of the three types of consumers, and matching consumers are the optimal consumer group; the intertemporal pricing strategy is better than the strategy of price undertaking only when the price sensitivity coefficient is greater than a critical value.Originality/valueThis study enriches the literature on the pricing model of online education products and owns a practical significance to guide the online enterprise to make marketing strategies to increase profit.

Enhanced near-infrared periocular recognition through collaborative rendering of hand crafted and deep features.

Periocular recognition leverage from larger feature region and lesser user cooperation, when compared against the traditional iris recognition. Moreover, in the current scenario of Covid-19, where majority of people cover their faces with masks, potential of recognizing faces gets reduced by a large extent, calling for wide applicability of periocular recognition. In view of these facts, this paper targets towards enhanced representation of near-infrared periocular images, by combined use of hand-crafted and deep features. The hand-crafted features are extracted through partitioning of periocular image followed by obtaining the local statistical properties pertaining to each partition. Whereas, deep features are extracted through the popular convolutional neural network (CNN) ResNet-101 model. The extensive set of experiments performed with a benchmark periocular database validates the promising performance of the proposed method. Additionally, investigation of cross-spectral matching framework and comparison with state-of-the-art, reveal that combination of both types of features employed could prove to be extremely effective.

Neoadjuvant Immunotherapy Combined Chemotherapy Followed by Surgery Versus Surgery Alone for Locally Advanced Esophageal Squamous Cell Carcinoma: A Propensity Score-Matched Study.

BackgroundCombination of neoadjuvant immunotherapy and chemotherapy (nICT) is a novel treatment for locally esophageal cancer squamous cell carcinoma (ESCC). This study aimed to evaluate the potential effect of nICT on surgery safety by comparing short-term outcomes between the surgery alone group and the nICT followed by surgery group.MethodsA retrospective analysis was performed to identify patients (from January 2017 to July 2021) who underwent surgery for ESCC with or without nICT. A propensity score matching (PSM) comparison (1:1) was conducted to reduce selection biases and balance the demographic and oncologic characteristics between groups.ResultsAfter PSM, the nICT group (n = 38) was comparable to the surgery alone group (n = 38) in the following characteristics: age, sex, BMI, ASA status, smoking, tumor location, lymph node resection, clinical stage, anastomotic location, surgical approach, and surgical approach. The operation time and incidence of postoperative pneumonia in the nICT group were higher than those in the control group (p < 0.05). However, other complications and major complications were comparable between the two groups. There was no significant difference between the two groups in intraoperative blood loss, ICU stay time, postoperative hospital stay, and hospitalization cost. The 30-day mortality, 30-day readmission, and ICU readmission rates were also similar in the nICT and control groups. In the nICT group, the pathological complete response rate in primary tumor was 18.4%, and the major pathological response rate in tumor was 42.1%.ConclusionsBased on our preliminary experience, nICT followed by surgery is safe and effective with acceptable increased operation risk, manageable postoperative complications, and promising pathological response. Further multicenter prospective trials are needed to validate our results.

Using a fuzzy logic approach to reveal soil-landscape relationships produced by digital soil maps in the humid tropical region of East Java, Indonesia

Digital soil mapping (DSM) has been developed and applied as a cost-effective alternative to conventional mapping. Most DSM studies in predicting soil classes evaluate the accuracy of the digital maps based on the percentage of correctly classified observations over an area or other global statistical measures. There is a lack of local accuracy assessment and spatial comparison of the actual soil-landscape relationships produced by the digital maps. This study aims to address this limitation by examining the use of digital elevation models and their derivatives in predicting the spatial diversity of soil types in the Jember Regency, East Java Province, Indonesia. We evaluated the accuracy of the map using a fuzzy set-map comparison, and in addition, we assessed the soil-landscape relationship of the digital maps. The study used 783 training data in the form of map polygons combined with a suite of covariates representing topography, organisms, and soil moisture. The prediction was carried out using three machine learning techniques: K-nearest neighbors, random forest, and Decision Tree. The soil maps were evaluated using the fuzzy logic metric to determine the global and local agreement between the DSM product and a conventional soil map. The results showed that the global fuzzy matching comparison between the predicted map and the reference map ranged from poor to good (0.30–0.39). However, examining the results locally, very good local fuzzy inference values of 0.69–0.84, were found in the lowland landscapes in the south and highlands in the north. Three digital maps generated by the random forest model combining three covariates showed that the dominant soil in the lowlands near the estuary and the coast was predicted as Typic Endoaquepts, then shifted to Typic Epiaquepts upstream, both of which were Inceptisols. At the top and bottom of the mountain, the predicted soils were Typic Hapludands and Andic Dystudepts, indicating Andisols at the top and a transition from Andisols to Inceptisols at the bottom. This pattern shows that DSM could detect the relationship between soils type formed in local environmental conditions. Evaluating the soil-landscape relationships of digital soil maps can reconcile pedology and digital soil mapping.

Determination of Most Reliable Bony Structure For Ageing of Carassius carassius (Linnaeus, 1758) Inhabiting In Duhok River (Iraq)

In this study, it was aimed to make a comparative age determination in the population of Carassius carassius (Linnaeus, 1758) living in Duhok River. For this purpose, 71 fish samples (57 male and 14 female) were obtained. The bony structures vertebrae, scales, otoliths and operculum used in the age determination. The age groups determined for each bony structure. The number and percentage distributions of individuals in these groups were expressed with tables. The comparison of age matching between bony structures was expressed by figures. The most reliable bony structures were found as vertebrae, otolith, scales and operculum respectively. The highest consistency was observed in the vertebrae (70.42%). The ages changed between I and IX age in Carassius carassius in this study.

Novel Rotational Combination Regimen of Skin Topicals Improves Facial Photoaging: Efficacy Demonstrated in Double-Blinded Clinical Trials and Laboratory Validation.

Topical antiaging products are often a first-line intervention to counter visible signs of facial photoaging, aiming for sustained cosmetic improvement. However, prolonged application of a single active topical compound was observed clinically to lead to a plateau effect in improving facial photoaging. In view of this, we set out to reduce this effect systematically using a multi-tiered approach with laboratory evidence and clinical trials. The objective of the study was to evaluate the effects of active topical ingredients applied either alone, in combination, or in a rotational manner on modulation of facial photoaging. The study methodology included in vitro, organotypic, and ex vivo skin explants; in vivo biopsy study; as well as clinical trials. We demonstrate for the first time that a pair of known antiaging ingredients applied rotationally, on human dermal fibroblasts, maximized pro-collagen I production. Indeed, rotational treatment with retinol and phytol/glycolic acid (PGA) resulted in better efficacy than application of each active ingredient alone as shown by explants and in vivo biopsy study, with penetration of active ingredients confirmed by Raman spectroscopy. Furthermore, two split-face, randomized, double-blinded clinical trials were conducted, one for 12 months to compare treated vs. untreated and the other for 6 months followed by a 2-month regression to compare treated vs. commercially marketed products. In both studies, rotational regimen showed superior results to its matching comparison as assessed by clinical grading and image analysis of crow's feet wrinkles. In conclusion, rotational regimen using retinol and PGA is effective in treating facial photoaging signs with long-lasting benefits.

Deep Learning for Detection of Pulmonary Metastasis on Chest Radiographs.

Background A computer-aided detection (CAD) system may help surveillance for pulmonary metastasis at chest radiography in situations where there is limited access to CT. Purpose To evaluate whether a deep learning (DL)-based CAD system can improve diagnostic yield for newly visible lung metastasis on chest radiographs in patients with cancer. Materials and Methods A regulatory-approved CAD system for lung nodules was implemented to interpret chest radiographs from patients referred by the medical oncology department in clinical practice. In this retrospective diagnostic cohort study, chest radiographs interpreted with assistance from a CAD system after the implementation (January to April 2019, CAD-assisted interpretation group) and those interpreted before the implementation (September to December 2018, conventional interpretation group) of the CAD system were consecutively included. The diagnostic yield (frequency of true-positive detections) and false-referral rate (frequency of false-positive detections) of formal reports of chest radiographs for newly visible lung metastasis were compared between the two groups using generalized estimating equations. Propensity score matching was performed between the two groups for age, sex, and primary cancer. Results A total of 2916 chest radiographs from 1521 patients (1546 men, 1370 women; mean age, 62 years) and 5681 chest radiographs from 3456 patients (2941 men, 2740 women; mean age, 62 years) were analyzed in the CAD-assisted interpretation and conventional interpretation groups, respectively. The diagnostic yield for newly visible metastasis was higher in the CAD-assisted interpretation group (0.86%, 25 of 2916 [95% CI: 0.58, 1.3] vs 0.32%, 18 of 568 [95% CI: 0.20, 0.50%]; P = .004). The false-referral rate in the CAD-assisted interpretation group (0.34%, 10 of 2916 [95% CI: 0.19, 0.64]) was not inferior to that in the conventional interpretation group (0.25%, 14 of 5681 [95% CI: 0.15, 0.42]) at the noninferiority margin of 0.5% (95% CI of difference: -0.15, 0.35). Conclusion A deep learning-based computer-aided detection system improved the diagnostic yield for newly visible metastasis on chest radiographs in patients with cancer with a similar false-referral rate. © RSNA, 2021 Online supplemental material is available for this article.

Tree-interior radar (TIR) imaging using matching pursuit algorithm and comparison to other TIR focusing techniques

The implementation of the matching pursuit algorithm (MPA) to the circular tree-interior imaging scanning arrangement has been introduced. Simulation and measurement experiments have been carried out in aiming to detect and image cavity regions inside tree bodies using the MPA. First, the validity and the success of the MPA has been checked by the help of simulation scenario that was realized in MATLAB environment. Then, the focusing ability and the success of the MPA implementation has been compared to other focusing algorithms; namely sinusoidal template-based focusing algorithm (STBA) and circular back projection algorithm (CBPA) that were developed in our previous studies for imaging the interior of the tree body. After demonstrating the perfect reconstruction of the simulated cavity structure together with the tree-body in the simulated scenario, the implementation of MPA has been applied to the measurement data that were collected in the laboratory. The resultant focused radar images of the measured data have demonstrated that MPA has the ability to focus the tree-interior back-scattered data with sufficiently sharp resolution performance so that the MPA can be successfully utilized for the detection of cavity regions inside tree trunks. The radar images constructed in this study have also shown that the MPA outperforms the previously developed STBA and the CBPA in terms of image quality parameters such as focusing, contrast and resolution.

Quality analysis of Worldview-4 DSMs generated by least squares matching and semiglobal matching

For the estimation of a dense disparity map from a rectified space-borne stereo image pair and generation of the most qualified digital surface model (DSM), new image matching algorithms are being developed. Our study has two main goals of the DSM quality validation of Worldview-4 (WV-4), which offers the highest ground sampling distance (GSD) (30 cm) of civilian optical space-borne missions together with Worldview-3 (WV-3), and performance comparison of semiglobal matching (SGM) and least squares matching (LSM), two of the most preferred image matching algorithms for space-borne data. In the Istanbul study area with a rough topographic structure, 1 m gridded DSMs were derived from geometrically corrected WV-4 stereo image pairs. The qualities were estimated by well-rounded visual and statistical approaches based on standard deviation and normalized median absolute deviation. In model-to-model comparisons, a very high-resolution airborne laser scanning (ALS) DSM was utilized as the reference model. The results demonstrated that the WV-4 DSM derived by SGM has the standard deviation of ±0.51 m (1.7 GSD) in height in open areas, whereas the LSM DSM has ±1.46 m. In addition, the visual quality of SGM is much better than LSM through building description potential.

An experimental comparison of rebate and matching in charitable giving: The case of Japan

This study uses a Japanese nationwide sample and experimentally compares rebate and matching, both of which are schemes intended to lower the price of monetary donation. Standard economic theory predicts that the two schemes will have the same effect on individuals’ donation behavior when their donation price is equivalent. However, we conduct an incentivized economic experiment through the Internet on 2300 Japanese residents, and find that matching, which lowers the donation price by adding a contribution from a third-party, increases individuals’ donation expenditures compared to rebate, which lowers it through a refund from a third-party. The experimental result shows that the donation expenditure in a 50% rebate treatment drops by approximately 126 Japanese yen compared to the control, while in a 1:1 matching treatment with essentially the same price of donation as the 50% rebate, the expenditure conversely rises by approximately 56 Japanese yen. This tendency is consistent with the results of previous experimental studies comparing the two schemes. We further empirically confirm that the superiority of 1:1 matching over 50% rebate is not conclusively influenced by the participants’ confusion or misunderstanding, or budget constraint lines’ difference between the two schemes. Although the Japanese government has previously enriched rebate’s content, the level of monetary donations by the Japanese people is still low on an international scale. Based on this study’s findings, we discuss the possibility that implementing matching into the society effectively encourages their donation behavior.

Gendered survival differentials of adopted children in northeast Japan, 1716–1870

ABSTRACT Adoption was an important strategy for early-modern Japanese families to function and continue. This study is the first to systematically examine whether survival chances differ between adopted and non-adopted children and how gender moderates the survival differentials in historical Japan. We take advantage of individual-level panel data drawn from local household registers in northeast villages and towns between 1716 and 1870 consisting of 71,677 annual observations of 10,587 children aged 1–14, of whom 384 were adopted. Our event-history analysis takes a rich set of household characteristics and local economic context into account. We also apply matching and within-family comparison approaches to account for the unequal sex and age distribution of records between adopted and non-adopted children and unobserved systematic differences between households. We find substantial survival differentials between adopted and non-adopted children, which further vary by sex. Compared with non-adopted children of the same gender, adopted boys enjoyed survival advantages, while adopted girls suffered from elevated mortality risks. Moreover, the gendered survival differentials of adopted children were particularly apparent among those aged 5–9 rather than at older ages. In line with the patriarchal norms, these findings imply potentially different familial expectations for boy and girl adoptions in shaping child survival differentials.

Exploring the efficacy and safety of polyene phosphatidylcholine for treatment of drug-induced liver injury using the Roussel Uclaf causality assessment method: a propensity score matching comparison.

Objective In China, polyene phosphatidylcholine (PPC) is widely used to treat alanine aminotransferase (ALT) elevation associated with various liver diseases. Here, we assessed the efficacy and safety of PPC in treating drug-induced liver injury (DILI).Methods Data from a multicenter retrospective cohort study (DILI-R) were analyzed to compare PPC and magnesium isoglycyrrhizinate (MgIG) for treatment of DILI. We used the Roussel Uclaf causality assessment method (RUCAM) to evaluate patients with DILI. Patients with RUCAM scores ≥6 were included in the study, while those with RUCAM scores <6 were further evaluated by a panel of hepatologists. The primary outcome was the proportion of patients with ALT normalization at discharge. Propensity score matching was used to identify 183 matched pairs of patients (366 patients in total) from 25,927 patients with DILI.Results Among the DILI patients, 64 of 183 (34.97%) achieved normal ALT levels after treatment in both the PPC and the MgIG groups.Conclusion There were no significant differences in safety biomarkers including serum creatinine, blood urea nitrogen, white blood cells, platelets, hemoglobin, and albumin between patients treated with PPC or MgIG. The safety and efficacy of these two agents for treatment of DILI were comparable.