Evidence map›Paper›PMID 30788363›Full record

ArticleAnnals of translational medicine2019

Balance diagnostics after propensity score matching.

Zhongheng Zhang, Hwa Jung Kim, Guillaume Lonjon, Yibing Zhu, written on behalf of AME Big-Data Clinical Trial Collaborative Group

Abstract readEditorial
In one paragraph

Article in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 483 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
483citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

483 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. Acute lack of sunlight exposure is associated with poorer cognitive test performance: evidence from two national cohorts in the United Kingdom.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
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423 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhongheng ZhangDepartment of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
Hwa Jung KimDepartment of Clinical Epidemiology and Biostatistics, Asan Medical Center, Seoul, Korea.
Guillaume LonjonINSERM, UMR 1153, Centre of Research in Epidemiology and Statistics Sorbonne Paris Cite´ (CRESS), METHODS Team, Paris, France.
Yibing ZhuICU, Fuxing Hospital, Capital Medical University, Beijing 100045, China.
written on behalf of AME Big-Data Clinical Trial Collaborative Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Propensity score matching (PSM) is a popular method in clinical researches to create a balanced covariate distribution between treated and untreated groups. However, the balance diagnostics are often not appropriately conducted and reported in the literature and therefore the validity of the findings from the PSM analysis is not warranted. The special article aims to outline the methods used for assessing balance in covariates after PSM. Standardized mean difference (SMD) is the most commonly used statistic to examine the balance of covariate distribution between treatment groups. Because SMD is independent of the unit of measurement, it allows comparison between variables with different unit of measurement. SMD can be reported with plot. Variance is the second central moment and should also be compared in the matched sample. Finally, a correct specification of the propensity score model (e.g., linearity and additivity) should be re-assessed if there is evidence of imbalance between treated and untreated. R code for the implementation of balance diagnostics is provided and explained.

Indexed as

balance diagnosticsprognostic scorePropensity scorestandardized mean difference (SMD)

Identifiers

PMID30788363
PMCPMC6351359

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.