Evidence map›Paper›PMID 37635714›Full record

ArticleGlobal epidemiology2021

Population attributable fraction in textbooks: Time to revise.

Ahmad Khosravi, Maryam Nazemipour, Tomohiro Shinozaki, Mohammad Ali Mansournia

Abstract read
In one paragraph

Article in Global epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. [Apply the Miettinen Formula to Assess the Health Benefits of the PMSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
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  11. The Economic Cost of Obesity: A Cost-of-Illness Study in Greece.Applied health economics and health policy · 2026
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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

4 authors.

Ahmad KhosraviDepartment of Epidemiology, Shahroud University of Medical Sciences, Shahroud, Iran.
Maryam NazemipourOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Tomohiro ShinozakiDepartment of Information and Computer Technology, Faculty of Engineering, Tokyo University of Sciences, Tokyo, Japan.
Mohammad Ali MansourniaDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The population attributable fraction is an important measure for assessing the impact of intervention on the disease risk in populations, but it is frequently misused in the research literature. Methods: In this study, we review the definition, calculation, interpretation and assumptions of PAF in 43 textbooks and highlight important shortcomings. Results: While the Levin formula was proposed as a method of calculation in 29 (67%) textbooks, only in 4 (9%) was the Miettinen formula or its generalization for multilevel exposure recommended to calculate a confounding-adjusted population attributable fraction. Other concepts such as generalized impact fraction and prevented and preventable fractions were briefly discussed in few textbooks. Discussion: We recommend the authors revise the textbooks in light of our proposed framework for teaching the population attributable fraction.

Indexed as

CausalityGeneralized impact fractionPopulation attributable fractionPreventable fractionPrevented faction

Identifiers

PMID37635714
PMCPMC10445975

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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.