Evidence map›Paper›PMID 33635292›Full record

SynthesisLa Medicina del lavoro2021

Methodological issues in descriptive environmental epidemiology. The example of study Sentieri.

Catalina Ciocan, Nicolò Franco, Enrico Pira, Ihab Mansour, Alessandro Godono, Paolo Boffetta

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in La Medicina del lavoro, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Toolkit for detecting misused epidemiological methods.Environmental health : a global access science source · 2021
    Article
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

6 authors.

Catalina CiocanDepartment of Public Health Sciences and Pediatrics, University of Turin, Turin, Italy. catalina.ciocan@unito.it.
Nicolò FrancoDepartment of Public Health Sciences and Pediatrics, University of Turin, Turin, Italy. paolo.boffetta@unibo.it.
Enrico PiraDepartment of Public Health Sciences and Pediatrics, University of Turin, Turin, Italy. enrico.pira@unito.it.
Ihab MansourDepartment of Public Health Sciences and Pediatrics, University of Turin, Turin, Italy. ihab.mansour@unito.it.
Alessandro Godonoihab.mansour@unito.it. alessandro.godono@unito.it.
Paolo BoffettaStony Brook Cancer Center, Stony Brook University, Stony Brook, New York, USA; Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy. paolo.boffetta@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDescriptive epidemiology identifies associations between environmental exposures and health effects that require results from methodologically stronger studies before causation can be considered.

objectiveTo critically review the methodology and results of Sentieri, a descripitive study on residence in areas with one or more industrial source of pollution.

methodsWe systematically reviewed the literature quoted by Sentieri for the selection of health effects of nine types of pollution sources of a-priori interest. We also reviewed and meta-analyzed the results of the first report of Sentieri, that analyzed mortality in 44 polluted sites (PS), and 17 causes of deaths during 1995-2002.

resultsAmong 159 study results quoted by Sentieri, 23.9 % were supportive of an association between residence near a pollution source and a health effect, 30.2 % were partially supportive, 10.7 % were not supportive, and 35.2 % were not relevant. Among 653 standardized mortality ratios for associations between PS-specific pollution sources and causes of death, 14.4% were significantly above 1.02, and 9.0% were significantly below 0.98. Among 48 meta-analysis, seven were significantly above 1.0, including five on exposure to asbestos.

conclusionsSentieri exemplifies the limitations of descriptive environmental epidemiology studies, in which most hypotheses have limited prior support, most results do not show associations, data on potential confounders and other sources of bias are not available. Such studies tend to replicate well-known associations and occasionally can identify critical situations requiring more investigation, but cannot be used to infer causality either in general or in specific circumstances.

Indexed as

AsbestosNeoplasmsEnvironmental ExposureEnvironmental PollutionHumansAsbestos

Identifiers

PMID33635292
PMCPMC8023053

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.