Evidence mapPaperPMID 32728050Full record

SynthesisScientific reports2020

The performance of anthropometric tools to determine obesity: a systematic review and meta-analysis.

Isolde Sommer, Birgit Teufer, Monika Szelag, Barbara Nussbaumer-Streit, Viktoria Titscher, Irma Klerings, Gerald Gartlehner

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 8 pooled it
11.2field-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

91 citing papers in PubMed, 8 syntheses or guidelines pooled it, 171 citations in OpenAlex.

  1. Validity of non-traditional measures of obesity compared to total body fat across the life course: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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  6. Association of epicardial adipose tissue with the severity and adverse clinical outcomes of COVID-19: A meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
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  7. Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
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31 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

7 authors at 1 institution in 2 countries.

Isolde SommerDepartment for Evidence-Based Medicine and Evaluation, Danube University Krems, Dr.-Karl-Dorrek-Straße 30, 3500, Krems, Austria. isolde.sommer@donau-uni.ac.at.
Birgit TeuferDepartment for Evidence-Based Medicine and Evaluation, Danube University Krems, Dr.-Karl-Dorrek-Straße 30, 3500, Krems, Austria.
Monika SzelagDepartment for Evidence-Based Medicine and Evaluation, Danube University Krems, Dr.-Karl-Dorrek-Straße 30, 3500, Krems, Austria.
Barbara Nussbaumer-StreitDepartment for Evidence-Based Medicine and Evaluation, Danube University Krems, Dr.-Karl-Dorrek-Straße 30, 3500, Krems, Austria.
Viktoria TitscherDepartment for Evidence-Based Medicine and Evaluation, Danube University Krems, Dr.-Karl-Dorrek-Straße 30, 3500, Krems, Austria.
Irma KleringsDepartment for Evidence-Based Medicine and Evaluation, Danube University Krems, Dr.-Karl-Dorrek-Straße 30, 3500, Krems, Austria.
Gerald GartlehnerDepartment for Evidence-Based Medicine and Evaluation, Danube University Krems, Dr.-Karl-Dorrek-Straße 30, 3500, Krems, Austria.
Universität für Weiterbildung Krems · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this systematic review was to assess the performance of anthropometric tools to determine obesity in the general population (CRD42018086888). Our review included 32 studies. To detect obesity with body mass index (BMI), the meta-analyses rendered a sensitivity of 51.4% (95% CI 38.5-64.2%) and a specificity of 95.4% (95% CI 90.7-97.8%) in women, and 49.6% (95% CI 34.8-64.5%) and 97.3% (95% CI 92.1-99.1%), respectively, in men. For waist circumference (WC), the summary estimates for the sensitivity were 62.4% (95% CI 49.2-73.9%) and 88.1% for the specificity (95% CI 77.0-94.2%) in men, and 57.0% (95% CI 32.2-79.0%) and 94.8% (95% CI 85.8-98.2%), respectively, in women. The data were insufficient to pool the results for waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) but were similar to BMI and WC. In conclusion, BMI and WC have serious limitations for use as obesity screening tools in clinical practice despite their widespread use. No evidence supports that WHR and WHtR are more suitable than BMI or WC to assess body fat. However, due to the lack of more accurate and feasible alternatives, BMI and WC might still have a role as initial tools for assessing individuals for excess adiposity until new evidence emerges.

Indexed as

AnthropometryBody Mass IndexFemaleHumansMaleObesitySensitivity and SpecificityWaist-Height RatioWaist-Hip Ratio

Identifiers

PMID32728050
PMCPMC7391719
OpenAlexW3045995760

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.