Evidence map›Paper›PMID 23302181›Full record

ReviewEnvironmental health : a global access science source2013

An assessment of survey measures used across key epidemiologic studies of United States Gulf War I Era veterans.

Rebecca B McNeil, Catherine M Thomas, Steven S Coughlin, Elizabeth Hauser, Grant D Huang, Karen M Goldstein, Marcus R Johnson, Tyra Dunn-Thomas, Dawn T Provenzale

Abstract readReview
In one paragraph

Review in Environmental health : a global access science source, 2013. 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. A Detoxification Intervention for Gulf War Illness: A Pilot Randomized Controlled Trial.International journal of environmental research and public health · 2019
    Trial
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

9 authors.

Rebecca B McNeilDurham Epidemiologic Research and Information Center, Durham Veterans Affairs Medical Center, Durham, NC, USA. rebecca.mcneil@va.gov
Catherine M Thomas
Steven S Coughlin
Elizabeth Hauser
Grant D Huang
Karen M Goldstein
Marcus R Johnson
Tyra Dunn-Thomas
Dawn T Provenzale

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past two decades, 12 large epidemiologic studies and 2 registries have focused on U.S. veterans of the 1990-1991 Gulf War Era. We conducted a review of these studies' research tools to identify existing gaps and overlaps of efforts to date, and to advance development of the next generation of Gulf War Era survey tools. Overall, we found that many of the studies used similar instruments. Questions regarding exposures were more similar across studies than other domains, while neurocognitive and psychological tools were the most variable. Many studies focused on self-reported survey results, with a range of validation practices. However, physical exams, biomedical assessments, and specimen storage were not common. This review suggests that while research may be able to pool data from past surveys, future surveys need to consider how their design can yield data comparable with previous surveys. Additionally, data that incorporate recent technologies in specimen and genetic analyses would greatly enhance such survey data. When combined with existing data on deployment-related exposures and post-deployment health conditions, longitudinal follow-up of existing studies within this collaborative framework could represent an important step toward improving the health of veterans.

Indexed as

Epidemiologic StudiesGulf WarVeterans HealthHumansUnited States

Identifiers

PMID23302181
PMCPMC3599123

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.