Evidence map›Paper›PMID 25741190›Full record

ReviewKorean journal of radiology

Propensity score matching: a conceptual review for radiology researchers.

Seunghee Baek, Seong Ho Park, Eugene Won, Yu Rang Park, Hwa Jung Kim

Abstract readReview
In one paragraph

Review in Korean journal of radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed
–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

98 citing papers in PubMed.

  1. Trial
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  9. Using Propensity Score Matching to Control for MRI Scan Quality.bioRxiv : the preprint server for biology · 2025
    Article
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  11. Observational
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38 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.

Seunghee BaekDepartment of Clinical Epidemiology and Biostatistics, Asan Medical Center, Seoul 138-736, Korea.
Seong Ho ParkDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 138-736, Korea.
Eugene WonDepartment of Radiology, NYU Langone Medical Center, New York, NY 10016, USA.
Yu Rang ParkOffice of Clinical Research Information, Asan Medical Center, Seoul 138-736, Korea.
Hwa Jung KimDepartment of Clinical Epidemiology and Biostatistics, Asan Medical Center, Seoul 138-736, Korea. ; Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul 138-736, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The propensity score is defined as the probability of each individual study subject being assigned to a group of interest for comparison purposes. Propensity score adjustment is a method of ensuring an even distribution of confounders between groups, thereby increasing between group comparability. Propensity score analysis is therefore an increasingly applied statistical method in observational studies. The purpose of this article was to provide a step-by-step nonmathematical conceptual guide to propensity score analysis with particular emphasis on propensity score matching. A software program code used for propensity score matching was also presented.

Indexed as

Propensity ScoreFemaleHumansMaleMiddle AgedRadiologyResearch DesignResearch PersonnelSoftwareIndication biasMatchingObservational studyPropensity score

Identifiers

PMID25741190
PMCPMC4347264

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.