Evidence map›Paper›PMID 38142415›Full record

SynthesisInternational archives of occupational and environmental health2024

Occupational-related exposure to diesel exhaust and risk of leukemia: systematic review and meta-analysis of cohort studies.

Darshi Shah, Vincent DeStefano, Giulia Collatuzzo, Federica Teglia, Paolo Boffetta

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in International archives of occupational and environmental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Darshi ShahRenaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.ORCID 0009-0002-6784-0058
Vincent DeStefanoRenaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
Giulia CollatuzzoDepartment of Medical and Surgical Sciences, University of Bologna, 40138, Bologna, Italy.
Federica TegliaDepartment of Medical and Surgical Sciences, University of Bologna, 40138, Bologna, Italy.
Paolo BoffettaDepartment of Medical and Surgical Sciences, University of Bologna, 40138, Bologna, Italy. paolo.boffetta@stonybrookmedicine.edu.

Funding

Stony Brook University Stony Brook Cancer Center Medical Student Summer Research Fellowship
6 · The paper itself

Abstract

purposeDiesel exhaust (DE) is an established lung carcinogen. The association with leukemia is not well established. We conducted a systematic review and meta-analysis of cohort studies to determine the association between occupational DE exposure and risk of leukemia.

methodsA systematic literature review was performed to identify all cohort studies on occupational exposure to DE and associated risk of leukemia. STROBE guidelines and PECOS criteria were followed. Meta-analyses with fixed effects (and random-effects model in cases of high heterogeneity) were performed to calculate summary relative risks (RR) and 95% confidence intervals (CI), including subgroup analyses by outcome (mortality or incidence), sex, geographic region, industry type, and study quality. Study quality was assessed using the the Joanna Briggs Institute (JBI) critical appraisal checklist for cohort studies.

resultsOf the 30 studies retained, 20 (8 from North America, 12 from Europe) reported a total of 33 estimates of the risk of leukemia. Overall, the relative risk (RR) of leukemia was 1.01 (95% CI = 0.97-1.05, I

conclusionOur results did not indicate an association between occupational DE exposure and leukemia, with the possible exception of miners. Residual confounding cannot be excluded.

Indexed as

LeukemiaOccupational DiseasesOccupational ExposureVehicle EmissionsCohort StudiesHumansIncidenceRisk FactorsVehicle EmissionsDiesel exhaustLeukemiaMeta-analysisOccupational exposureSystematic review

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

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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.