Evidence map›Paper›PMID 40139650›Full record

ArticleAmerican journal of ophthalmology2025

Population-Based Performance of Inflammatory Markers in Giant Cell Arteritis.

Clara M Castillejo Becerra, Cynthia S Crowson, Hannah E Langenfeld, Deena Tajfirouz, Kevin D Chodnicki, Matthew J Koster, Kenneth J Warrington, John J Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of ophthalmology, 2025. 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. 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

8 authors.

Clara M Castillejo BecerraFrom the Department of Ophthalmology (C.C.B, D.T, K.C, J.C.), Mayo Clinic, Rochester, Minnesota, USA.
Cynthia S CrowsonDivision of Rheumatology, Department of Medicine (C.C, M.K, K.W.), Mayo Clinic, Rochester, Minnesota, USA.; Department of Quantitative Health Sciences (C.C, H.L.), Mayo Clinic, Rochester, Minnesota, USA.
Hannah E LangenfeldDepartment of Quantitative Health Sciences (C.C, H.L.), Mayo Clinic, Rochester, Minnesota, USA.
Deena TajfirouzFrom the Department of Ophthalmology (C.C.B, D.T, K.C, J.C.), Mayo Clinic, Rochester, Minnesota, USA.; Department of Neurology (D.T, J.C.), Mayo Clinic, Rochester, Minnesota, USA.
Kevin D ChodnickiFrom the Department of Ophthalmology (C.C.B, D.T, K.C, J.C.), Mayo Clinic, Rochester, Minnesota, USA.
Matthew J KosterDivision of Rheumatology, Department of Medicine (C.C, M.K, K.W.), Mayo Clinic, Rochester, Minnesota, USA.
Kenneth J WarringtonDivision of Rheumatology, Department of Medicine (C.C, M.K, K.W.), Mayo Clinic, Rochester, Minnesota, USA.
John J ChenFrom the Department of Ophthalmology (C.C.B, D.T, K.C, J.C.), Mayo Clinic, Rochester, Minnesota, USA.; Department of Neurology (D.T, J.C.), Mayo Clinic, Rochester, Minnesota, USA.. Electronic address: chen.john@mayo.edu.

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
NCATS NIH HHS UL1 TR002377NIA NIH HHS R21 AG058738NIA NIH HHS R33 AG058738
6 · The paper itself

Abstract

objectiveTo determine the population-based sensitivities and specificities of various inflammatory markers for the diagnosis of GCA.

designRetrospective population-based cross-sectional study.

participantsPatients who underwent temporal artery biopsy (TAB) from 01/01/1995 through 12/31/2019 in Olmsted County, Minnesota were identified using the Rochester Epidemiology Project (REP). Subjects were categorized as GCA or non-GCA using the 1990 American College of Rheumatology classification criteria for GCA. TESTING: Sensitivity and specificity of C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and platelets for a positive GCA diagnosis were calculated.

main outcome measuresGCA diagnosis.

resultsThere were 553 patients who underwent TAB, 143 with GCA and 410 without GCA. Median age at time of TAB was 75 years (IQR 69-81) and 372 (67%) were female. Patients with GCA had higher CRP (91.1 vs 49.1 mg/L, P < .001), ESR (66.4 vs 52.0 mm/hr, P < .001), and platelets (370.5 vs 283.1 × 10

conclusionsThis population-based study evaluated the performance of various inflammatory markers in the diagnosis of GCA. Inflammatory markers are helpful in the diagnosis of GCA, but normal values do not exclude the diagnosis.

Indexed as

BiomarkersC-Reactive ProteinGiant Cell ArteritisTemporal ArteriesAgedAged, 80 and overBiopsyBlood PlateletsBlood SedimentationCross-Sectional StudiesFemaleHumansInflammationMalePlatelet CountRetrospective StudiesBiomarkersC-Reactive Protein

Identifiers

PMID40139650
PMCPMC12124959

What OpenQuestion holds

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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.