Evidence map›Paper›PMID 31628130›Full record

Observational studyBMJ open2019

Serum biomarkers in patients suspected of transient ischaemic attack in primary care: a diagnostic accuracy study.

Louis Servaas Dolmans, Frans Rutten, Marie-Louise E L Bartelink, Ewoud J van Dijk, Paul J Nederkoorn, Jaap Kappelle, Arno W Hoes, MIND-TIA study group

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01954329 (Markers in the Diagnosis of TIA), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-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.

NCT01954329 unknown statusnot on this map

Markers in the Diagnosis of TIA

TypeobservationalSponsorUMC UtrechtRan2013Enrolled350ConditionsTransient Ischemic Attack
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Review
  6. FAST-IT:BMJ open · 2022
    Article
  7. 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

8 authors at 3 institutions in 1 country.

Louis Servaas DolmansJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands l.s.dolmans@umcutrecht.nl.ORCID 0000-0001-5255-3852
Frans RuttenJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Marie-Louise E L BartelinkJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Ewoud J van DijkDepartment of Neurology, Donders Centre for Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands.
Paul J NederkoornDepartment of Neurology, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Jaap KappelleDepartment of Neurology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Arno W HoesJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
MIND-TIA study group
Utrecht University · NLAmsterdam University Medical Centers · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe diagnosis of transient ischaemic attack (TIA) based on symptoms and signs can be challenging and would greatly benefit from a rapid serum biomarker of brain ischaemia. We aimed to quantify the added diagnostic value of serum biomarkers in patients suspected of TIA beyond symptoms and signs.

methodsThis is a cross-sectional diagnostic accuracy study with a 6-month follow-up period. Participants were patients suspected of TIA by the general practitioner (GP) in whom a blood sample could be collected within 72 hours from symptom onset. A research nurse visited the participant for the blood sample and a standardised interview. The GP referred participants to the regional TIA service. An expert panel of three neurologists classified cases as TIA, minor stroke or any other diagnosis, based on all available diagnostic information including the GP's and neurologist's correspondence and the follow-up period. We used multivariable logistic regression analyses to quantify the diagnostic accuracy of clinical predictors and the improvement of accuracy by seven biomarkers (NR2, NR2 antibodies, PARK7, NDKA, UFD1, B-FABP and H-FABP).

results206 patients suspected of TIA participated, of whom 126 (61.2%) were diagnosed with TIA (n=104) or minor stroke (n=22) by the expert panel. The median time from symptom onset to the blood sample collection was 48.0 (IQR 28.3-56.8) hours. None of the seven biomarkers had discriminative value in the diagnosis of TIA, with C-statistics ranging from 0.45 to 0.58. The final multivariable model (C-statistic 0.83 (0.78-0.89)) consisted of eight clinical predictors of TIA/minor stroke: increasing age, a history of coronary artery disease, sudden onset of symptoms, occurrence of symptoms in full intensity, dysarthria, no history of migraine, absence of loss of consciousness and absence of headache. Addition of the individual biomarkers did not further increase the C-statistics.

conclusionsCurrently available blood biomarkers have no added diagnostic value in suspected TIA. TRIAL REGISTRATION NUMBER: NCT01954329.

Indexed as

AgedAged, 80 and overBiomarkersCross-Sectional StudiesFemaleHumansIschemic Attack, TransientLogistic ModelsMaleMiddle AgedMultivariate AnalysisNetherlandsPrimary Health CareReferral and ConsultationStrokeBiomarkersbiomarkerdiagnostic accuracyminor strokepanelTIA

Identifiers

PMID31628130
PMCPMC6803126
OpenAlexW2980572327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.