Evidence map›Paper›PMID 38504854›Full record

ArticleAnnals of clinical epidemiology2022

Introduction to Matching in Case-Control and Cohort Studies.

Masao Iwagami, Tomohiro Shinozaki

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
26.1field-weighted citation impact, top 1% of its field
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

81 citing papers in PubMed, 118 citations in OpenAlex.

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  7. Interpreting abnormal severe combined immunodeficiency (SCID) newborn screens: Perinatal predictors and clinical implications.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2026
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  13. Causal Inference in Clinical Research: A Primer.Journal of periodontal research · 2026
    Review
  14. Microbial genomics · 2026
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  17. Exposure to GLP-1RA and Risk of Structural Progression in Differentiated Thyroid Cancer.The Journal of clinical endocrinology and metabolism · 2026
    Observational
  18. Article
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21 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

2 authors at 2 institutions in 2 countries.

Masao IwagamiDepartment of Health Services Research, Faculty of Medicine, University of Tsukuba.
Tomohiro ShinozakiTokyo University of Science, Department of Information and Computer Technology.
Tokyo University of Science · JPUniversity of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Matching is a technique through which patients with and without an outcome of interest (in case-control studies) or patients with and without an exposure of interest (in cohort studies) are sampled from an underlying cohort to have the same or similar distributions of some characteristics. This technique is used to increase the statistical efficiency and cost efficiency of studies. In case-control studies, besides time in risk set sampling, controls are often matched for each case with respect to important confounding factors, such as age and sex, and covariates with a large number of values or levels, such as area of residence (e.g., post code) and clinics/hospitals. In the statistical analysis of matched case-control studies, fixed-effect models such as the Mantel-Haenszel odds ratio estimator and conditional logistic regression model are needed to stratify matched case-control sets and remove selection bias artificially introduced by sampling controls. In cohort studies, exact matching is used to increase study efficiency and remove or reduce confounding effects of matching factors. Propensity score matching is another matching method whereby patients with and without exposure are matched based on estimated propensity scores to receive exposure. If appropriately used, matching can improve study efficiency without introducing bias and could also present results that are more intuitive for clinicians.

Indexed as

case-control studycohort studyconditional logistic regressionmatchingrisk set samplingstratified Cox regression

Identifiers

PMID38504854
PMCPMC10760465
OpenAlexW4225540106

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.