Evidence map›Paper›PMID 28146040›Full record

ArticleJournal of occupational and environmental medicine2017

Hospital-Based Case-Control Study of MDS Subtypes and Benzene Exposure in Shanghai.

G Bruce Copley, A Robert Schnatter, Thomas W Armstrong, Richard D Irons, Min Chen, Xiao Qin Wang, Patrick Kerzic

Open access · hybridAbstract read
In one paragraph

Article in Journal of occupational and environmental medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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 2 institutions in 2 countries.

G Bruce CopleyExxonMobil Biomedical Sciences, Inc. (Drs Copley, Schnatter, Chen); TWA8HR Occupational Hygiene Consulting (Dr Armstrong), New Jersey; Huashan Hospital, Fudan University, China (Drs Irons, Wang, Kerzic); University of Colorado Anshutz Medical Center, Colorado (Dr Irons).
A Robert Schnatter
Thomas W Armstrong
Richard D Irons
Min Chen
Xiao Qin Wang
Patrick Kerzic
Ten Chen Hospital · TWRazi University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDue to the sparse data on benzene exposure and myelodysplastic syndrome (MDS) subtypes, we studied this relationship in patients from 29 hospitals in Shanghai, China.

methodsWe recruited 604 cases of MDS and 1193 controls matched on age, sex, and admission date. We interviewed subjects for information on workplace and lifestyle exposures, and developed semi-quantitative exposure estimates.

resultsBenzene exposure showed a direct exposure-response pattern with refractory cytopenia with multilineage dysplasia, a less certain association with refractory cytopenia with unilineage dysplasia, and no association with other MDS subtypes. A different pattern was observed with farm residence and smoking, which was primarily related to refractory anemias.

conclusionsThis research demonstrates the importance of MDS subtype specification for more robust etiologic insights. Our data suggests that subtypes with non-erythroid dysplasia are associated with benzene exposure.

Indexed as

AdultAgedAgricultureBenzeneCase-Control StudiesChinaFemaleHospitalsHumansMaleManufacturing IndustryMiddle AgedMyelodysplastic SyndromesOccupational ExposurePlasticsResidence CharacteristicsBenzenePlasticsRubber

Identifiers

PMID28146040
PMCPMC5374749
OpenAlexW2592575543

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.