Evidence map›Paper›PMID 31196209›Full record

ArticleEnvironmental health : a global access science source2019

Estimation and application of population attributable fraction in ecological studies.

Cheng-Kuan Lin, Szu-Ta Chen

Open access · goldAbstract readLetter
In one paragraph

Article in Environmental health : a global access science source, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 6 pooled it
2.6field-weighted citation impact, top 9% 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

45 citing papers in PubMed, 6 syntheses or guidelines pooled it, 71 citations in OpenAlex.

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  5. Economic costs of obesity: a systematic review.International journal of obesity (2005) · 2024
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  11. Burden of hypertension-related diseases in Eastern Mediterranean region.Journal of Taibah University Medical Sciences · 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

2 authors at 1 institution in 1 country.

Cheng-Kuan LinDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA. chl309@mail.harvard.edu.ORCID 0000-0002-3124-9402
Szu-Ta ChenDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Boston, MA, 02115, USA.
Harvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimation of population attributable fraction (PAF) requires unbiased relative risk (RR) by using either Levin's or Miettinen's formula, on which decision depends on the available exposure information in reference group, not the types of studies. For ecological studies and studies with aggregated outcomes, once having unbiased RRs, Levin's and Miettinen's formulae would provide identical PAF estimates. PAF could also be applied to compare relative burdens of disease between countries across time, which is an additional information in consideration of country-level policies.

Indexed as

Research DesignEnvironmental HealthHumansModels, TheoreticalRisk FactorsEcological studyPopulation attributable fraction

Identifiers

PMID31196209
PMCPMC6567453
OpenAlexW2953299707

What OpenQuestion 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 OpenQuestion graph.