Evidence map›Paper›PMID 27352030›Full record

ArticlePloS one2016

Blood Biomarkers of Chronic Inflammation in Gulf War Illness.

Gerhard J Johnson, Billie C S Slater, Linda A Leis, Thomas S Rector, Ronald R Bach

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% 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

69 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.

  1. Pooled it
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  6. A Placebo-Controlled, Pseudo-Randomized, Crossover Trial of Botanical Agents for Gulf War Illness: Curcumin (International journal of environmental research and public health · 2021
    Trial
  7. A Detoxification Intervention for Gulf War Illness: A Pilot Randomized Controlled Trial.International journal of environmental research and public health · 2019
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9 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Gerhard J JohnsonDepartment of Veterans Affairs Health Care System, Minneapolis, Minnesota, 55417, United States of America.
Billie C S SlaterDepartment of Veterans Affairs Health Care System, Minneapolis, Minnesota, 55417, United States of America.
Linda A LeisDepartment of Veterans Affairs Health Care System, Minneapolis, Minnesota, 55417, United States of America.
Thomas S RectorDepartment of Veterans Affairs Health Care System, Minneapolis, Minnesota, 55417, United States of America.
Ronald R BachDepartment of Veterans Affairs Health Care System, Minneapolis, Minnesota, 55417, United States of America.
Minneapolis VA Health Care System · USUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore than twenty years following the end of the 1990-1991 Gulf War it is estimated that approximately 300,000 veterans of this conflict suffer from an unexplained chronic, multi-system disorder known as Gulf War Illness (GWI). The etiology of GWI may be exposure to chemical toxins, but it remains only partially defined, and its case definition is based only on symptoms. Objective criteria for the diagnosis of GWI are urgently needed for diagnosis and therapeutic research.

objectiveThis study was designed to determine if blood biomarkers could provide objective criteria to assist diagnosis of GWI.

designA surveillance study of 85 Gulf War Veteran volunteers identified from the Department of Veterans Affairs Minnesota Gulf War registry was performed. All subjects were deployed to the Gulf War. Fifty seven subjects had GWI defined by CDC criteria, and 28 did not have symptomatic criteria for a diagnosis of GWI. Statistical analyses were performed on peripheral blood counts and assays of 61 plasma proteins using the Mann-Whitney rank sum test to compare biomarker distributions and stepwise logistic regression to formulate a diagnostic model.

resultsLymphocyte, monocyte, neutrophil, and platelet counts were higher in GWI subjects. Six serum proteins associated with inflammation were significantly different in GWI subjects. A diagnostic model of three biomarkers-lymphocytes, monocytes, and C reactive protein-had a predicted probability of 90% (CI 76-90%) for diagnosing GWI when the probability of having GWI was above 70%. SIGNIFICANCE: The results of the current study indicate that inflammation is a component of the pathobiology of GWI. Analysis of the data resulted in a model utilizing three readily measurable biomarkers that appears to significantly augment the symptom-based case definition of GWI. These new observations are highly relevant to the diagnosis of GWI, and to therapeutic trials.

Indexed as

BiomarkersBlood Cell CountCase-Control StudiesC-Reactive ProteinFemaleHumansMaleMiddle AgedPersian Gulf SyndromeProteomeBiomarkersC-Reactive ProteinProteome

Identifiers

PMID27352030
PMCPMC4924830
OpenAlexW2462200035

What OpenQuestion holds

Textmetadata
LicenceCC0
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.