Evidence map›Paper›PMID 35216624›Full record

ArticleBMC psychology2022

The impact of post-traumatic stress on quality of life and fatigue in women with Gulf War Illness.

Nandan Shastry, Esha Sultana, Mary Jeffrey, Fanny Collado, Jeffrey Kibler, Christian DeLucia, Mary Ann Fletcher, Nancy Klimas, Travis J A Craddock

Open access · goldAbstract read
In one paragraph

Article in BMC psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. 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

9 authors at 2 institutions in 1 country.

Nandan Shastry *Institute for Neuro-Immune Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA.
Esha Sultana *Institute for Neuro-Immune Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA.
Mary JeffreyInstitute for Neuro-Immune Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA.
Fanny ColladoGeriatric Research, Education, and Clinical Center, Miami Veterans Affairs Medical Center, Miami, USA.
Jeffrey KiblerDepartment of Clinical and School Psychology, Nova Southeastern University, Fort Lauderdale, FL, USA.
Christian DeLuciaDepartment of Clinical and School Psychology, Nova Southeastern University, Fort Lauderdale, FL, USA.
Mary Ann FletcherInstitute for Neuro-Immune Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA.
Nancy KlimasInstitute for Neuro-Immune Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA.
Travis J A CraddockInstitute for Neuro-Immune Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA. tcraddock@nova.edu.
Nova Southeastern University · USGeriatric Research Education and Clinical Center · US

Funding

Gender Differences in Myalgic Encephalomyelitis/Chronic Fatigue SyndromeR01NS090200 · NINDS · NOVA SOUTHEASTERN UNIVERSITY · PI FLETCHER, MARY A · 2014 to 2017
$2.0M
Congressionally Directed Medical Research Programs W81XWH-09-2-0071Congressionally Directed Medical Research Programs W81XWH-16-1-0632NIH HHS 5R01NS090200-02NINDS NIH HHS R01 NS090200U.S. Department of Veterans Affairs I01CX000205-01
6 · The paper itself

Abstract

backgroundGulf War Illness (GWI) is a chronic, multi-symptomatic disorder characterized by fatigue, muscle pain, cognitive problems, insomnia, rashes, and gastrointestinal issues affecting an estimated 30% of the ~ 750,000 returning military Veterans of the 1990-1991 Persian Gulf War. Female Veterans deployed to combat in this war report medical symptoms, like cognition and respiratory troubles, at twice the rate compared to non-deployed female Veterans of the same era. The heterogeneity of GWI symptom presentation complicates diagnosis as well as the identification of effective treatments. This is exacerbated by the presence of co-morbidities. Defining subgroups of the illness may help alleviate these complications. One clear grouping is along the lines of gender. Our aim is to determine if women with GWI can be further subdivided into distinct subgroups based on post-traumatic stress disorder (PTSD) symptom presentation.

methodsVeterans diagnosed with GWI (n = 35) and healthy sedentary controls (n = 35) were recruited through the Miami Veterans Affairs Medical Health Center. Symptoms were assessed via the RAND short form health survey, the multidimensional fatigue inventory, and the Davidson trauma scale. Hierarchal regression modeling was performed on measures of health and fatigue with PTSD symptoms as a covariate. This was followed by univariate analyses conducted with two separate GWI groups based on a cut-point of 70 for their total Davidson trauma scale value and performing heteroscedastic t-tests across all measures.

resultsBased on the distinct differences found in PTSD symptomology regarding all health and trauma symptoms, two subgroups were derived within female GWI Veterans. Hierarchical regression models displayed the comorbid effects of GWI and PTSD, as both conditions had measurable impacts on quality of life and fatigue (ΔR

conclusionsOur current findings support the understanding that comorbid symptoms of GWI and PTSD subsequently result in poorer quality of life and fatigue, along with establishing the possibility of varying clinical presentations.

Indexed as

Persian Gulf SyndromeStress Disorders, Post-TraumaticFatigueFemaleGulf WarHumansQuality of LifeCo-morbid conditionsGulf War IllnessHierarchical regressionPost-traumatic stress disorderSub-typing

Identifiers

PMID35216624
PMCPMC8876751
OpenAlexW4214691875

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.