Evidence map›Paper›PMID 36864130›Full record

ArticleScientific reports2023

Ocular and inflammatory markers associated with Gulf War illness symptoms.

Karthik Kalahasty, Yonghoon Lee, Elyana Locatelli, Mak Djulbegovic, Kimberly Cabrera, Parastou Pakravan, Courtney Goodman, Andrew Jensen, Kristina Aenlle, Nancy Klimas and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% 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, 6 citations in OpenAlex.

  1. Review
  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

12 authors at 3 institutions in 1 country.

Karthik KalahastyUniversity of Miami Miller School of Medicine, Miami, FL, USA.
Yonghoon LeeUniversity of Miami Miller School of Medicine, Miami, FL, USA.
Elyana LocatelliUniversity of Miami Miller School of Medicine, Miami, FL, USA.
Mak DjulbegovicUniversity of Miami Miller School of Medicine, Miami, FL, USA.
Kimberly CabreraOphthalmology, Miami Veterans Affairs Medical Center, 1201 NW 16th St, Miami, FL, 33125, USA.
Parastou PakravanUniversity of Miami Miller School of Medicine, Miami, FL, USA.
Courtney GoodmanUniversity of Miami Miller School of Medicine, Miami, FL, USA.
Andrew JensenOphthalmology, Miami Veterans Affairs Medical Center, 1201 NW 16th St, Miami, FL, 33125, USA.
Kristina AenlleNova Southeastern University, Ft Lauderdale, FL, USA.
Nancy KlimasNova Southeastern University, Ft Lauderdale, FL, USA.
Raquel GoldhardtOphthalmology, Miami Veterans Affairs Medical Center, 1201 NW 16th St, Miami, FL, 33125, USA.
Anat GalorOphthalmology, Miami Veterans Affairs Medical Center, 1201 NW 16th St, Miami, FL, 33125, USA. agalor@med.miami.edu.
University of Miami · USVeterans Health Administration · USNova Southeastern University · US

Funding

Shared Equipment ModuleP30EY014801 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Victor L Perez · 2004 to 2026
$12.2M
Tear protein biomarkers of refractive surgery painR61EY032468 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI AICHER, SUE A, GALOR, ANAT · 2020 to 2022
$2.0M
Dry Eye and MicroenvironmentR01EY026174 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI GALOR, ANAT, KUMAR, NARESH · 2016 to 2020
$1.9M
Neural mechanisms underlying photophobia and dry eyeI01CX002015 · VA · MIAMI VA HEALTH CARE SYSTEM · PI Anat Galor · 2020 to 2026
–
BLRD VA I01 BX004893CSRD VA I01 CX002015NEI NIH HHS P30 EY014801NEI NIH HHS R01 EY026174NEI NIH HHS R01EY026174NEI NIH HHS R61 EY032468RRD VA I21 RX003883
6 · The paper itself

Abstract

To examine the utility of ocular coherence tomography (OCT) metrics, in conjunction with systemic markers of inflammation, in identifying individuals with Gulf War Illness (GWI) symptoms. Prospective case-control study of 108 Gulf War Era veterans, split into 2 groups based on the presence of GWI symptoms, defined by the Kansas criteria. Information on demographics, deployment history, and co-morbidities were captured. 101 individuals underwent OCT imaging and 105 individuals provided a blood sample which was analyzed for inflammatory cytokines using an enzyme-linked immunosorbent assay-based chemiluminescent assay. The main outcome measure was predictors of GWI symptoms, examined with multivariable forward stepwise logistic regression analysis followed by receiver operating characteristic (ROC) analysis. The mean age of the population was 55 ± 4, 90.7% self-identified as male, 53.3% as White, and 54.3% as Hispanic. A multivariable model that considered demographics and co-morbidities found that a lower inferior temporal ganglion cell layer-inner plexiform layer (GCL‒IPL) thickness, higher temporal nerve fiber layer (NFL) thickness, lower interleukin (IL)-1β levels, higher IL-1α levels, and lower tumor necrosis factor-receptor I levels correlated with GWI symptoms. ROC analysis demonstrated an area under the curve of 0.78 with the best cut-off value for the prediction model having a sensitivity of 83% and specificity of 58%. RNFL and GCL‒IPL measures, namely increased temporal thickness and decreased inferior temporal thickness, respectively, in conjunction with a number of inflammatory cytokines, had a reasonable sensitivity for the diagnosis of GWI symptoms in our population.

Indexed as

Gulf WarPersian Gulf SyndromeCase-Control StudiesFaceHumansMaleRetina

Identifiers

PMID36864130
PMCPMC9981620
OpenAlexW4323037683

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.