Evidence map›Paper›PMID 38299328›Full record

ArticleStroke2024

Sex Differences in Prehospital Identification of Large Vessel Occlusion in Patients With Suspected Stroke.

Mariam Ali, Luuk Dekker, Jasper D Daems, Mahsoem Ali, Erik W van Zwet, Ewout W Steyerberg, Martijne H C Duvekot, T Truc My Nguyen, Walid Moudrous, Ruben M van de Wijdeven and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Stroke, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 9 institutions in 1 country.

Mariam AliDepartment of Neurology (Mariam Ali, L.D., I.R.v.d.W., N.D.K., M.J.H.W., T.T.M.N.), Leiden University Medical Center, the Netherlands.ORCID 0000-0003-3409-7835
Luuk DekkerDepartment of Neurology (Mariam Ali, L.D., I.R.v.d.W., N.D.K., M.J.H.W., T.T.M.N.), Leiden University Medical Center, the Netherlands.ORCID 0000-0002-0958-2081
Jasper D DaemsDepartment of Neurology (J.D.D., M.H.C.D., R.M.v.d.W., D.W.J.D., B.R.), Erasmus MC University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0002-6245-8020
Mahsoem AliDepartment of Surgery (Mahsoem Ali).ORCID 0000-0002-0511-6323
Erik W van ZwetDepartment of Biomedical Data Sciences (E.W.v.Z., E.W.S.), Leiden University Medical Center, the Netherlands.ORCID 0000-0001-5537-3179
Ewout W SteyerbergDepartment of Biomedical Data Sciences (E.W.v.Z., E.W.S.), Leiden University Medical Center, the Netherlands.ORCID 0000-0002-7787-0122
Martijne H C DuvekotDepartment of Neurology (J.D.D., M.H.C.D., R.M.v.d.W., D.W.J.D., B.R.), Erasmus MC University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0003-0027-3669
T Truc My NguyenDepartment of Neurology (Mariam Ali, L.D., I.R.v.d.W., N.D.K., M.J.H.W., T.T.M.N.), Leiden University Medical Center, the Netherlands.ORCID 0000-0003-3545-3053
Walid MoudrousDepartment of Neurology, Maasstad Hospital, Rotterdam, the Netherlands (W.M.).ORCID 0000-0001-9151-9876
Ruben M van de WijdevenDepartment of Neurology (J.D.D., M.H.C.D., R.M.v.d.W., D.W.J.D., B.R.), Erasmus MC University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0003-0110-9748
Marieke C VisserDepartment of Neurology (M.C.V.).
Karlijn F de LaatDepartment of Neurology, Haga Hospital, the Hague, the Netherlands (K.F.d.L.).
Henk KerkhoffDepartment of Neurology, Albert Schweitzer Hospital, Dordrecht, the Netherlands (M.H.C.D., H.K.).ORCID 0000-0001-7857-2736
Ido R van den WijngaardDepartment of Neurology (Mariam Ali, L.D., I.R.v.d.W., N.D.K., M.J.H.W., T.T.M.N.), Leiden University Medical Center, the Netherlands.ORCID 0000-0002-3734-6086
Diederik W J DippelDepartment of Neurology (J.D.D., M.H.C.D., R.M.v.d.W., D.W.J.D., B.R.), Erasmus MC University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0002-9234-3515
Bob RoozenbeekDepartment of Neurology (J.D.D., M.H.C.D., R.M.v.d.W., D.W.J.D., B.R.), Erasmus MC University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0002-8320-8303
Nyika D KruytDepartment of Neurology (Mariam Ali, L.D., I.R.v.d.W., N.D.K., M.J.H.W., T.T.M.N.), Leiden University Medical Center, the Netherlands.ORCID 0000-0002-2320-0932
Marieke J H WermerDepartment of Neurology (Mariam Ali, L.D., I.R.v.d.W., N.D.K., M.J.H.W., T.T.M.N.), Leiden University Medical Center, the Netherlands.ORCID 0000-0002-6838-9521
LPSS and PRESTO Investigators
Leiden University Medical Center · NLErasmus MC · NLDSM (Netherlands) · NLLeiden University · NLAlbert Schweitzer Ziekenhuis · NLHaga Hospital · NLMaasstad Ziekenhuis · NLUniversity Medical Center Groningen · NLVrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferences in clinical presentation of acute ischemic stroke between men and women may affect prehospital identification of anterior circulation large vessel occlusion (aLVO). We assessed sex differences in diagnostic performance of 8 prehospital scales to detect aLVO.

methodsWe analyzed pooled individual patient data from 2 prospective cohort studies (LPSS [Leiden Prehospital Stroke Study] and PRESTO [Prehospital Triage of Patients With Suspected Stroke Study]) conducted in the Netherlands between 2018 and 2019, including consecutive patients ≥18 years suspected of acute stroke who presented within 6 hours after symptom onset. Ambulance paramedics assessed clinical items from 8 prehospital aLVO detection scales: Los Angeles Motor Scale, Rapid Arterial Occlusion Evaluation, Cincinnati Stroke Triage Assessment Tool, Cincinnati Prehospital Stroke Scale, Prehospital Acute Stroke Severity, gaze-face-arm-speech-time, Conveniently Grasped Field Assessment Stroke Triage, and Face-Arm-Speech-Time Plus Severe Arm or Leg Motor Deficit. We assessed the diagnostic performance of these scales for identifying aLVO at prespecified cut points for men and women.

resultsOf 2358 patients with suspected stroke (median age, 73 years; 47% women), 231 (10%) had aLVO (100/1114 [9%] women and 131/1244 [11%] men). The area under the curve of the scales ranged from 0.70 (95% CI, 0.65-0.75) to 0.77 (95% CI, 0.73-0.82) in women versus 0.69 (95% CI, 0.64-0.73) to 0.75 (95% CI, 0.71-0.79) in men. Positive predictive values ranged from 0.23 (95% CI, 0.20-0.27) to 0.29 (95% CI, 0.26-0.31) in women versus 0.29 (95% CI, 0.24-0.33) to 0.37 (95% CI, 0.32-0.43) in men. Negative predictive values were similar (0.95 [95% CI, 0.94-0.96] to 0.98 [95% CI, 0.97-0.98] in women versus 0.94 [95% CI, 0.93-0.95] to 0.96 [95% CI, 0.94-0.97] in men). Sensitivity of the scales was slightly higher in women than in men (0.53 [95% CI, 0.43-0.63] to 0.76 [95% CI, 0.68-0.84] versus 0.49 [95% CI, 0.40-0.57] to 0.63 [95% CI, 0.55-0.73]), whereas specificity was lower (0.79 [95% CI, 0.76-0.81] to 0.87 [95% CI, 0.84-0.89] versus 0.82 [95% CI, 0.79-0.84] to 0.90 [95% CI, 0.88-0.91]). Rapid arterial occlusion evaluation showed the highest positive predictive values in both sexes (0.29 in women and 0.37 in men), reflecting the different event rates.

conclusionsaLVO scales show similar diagnostic performance in both sexes. The rapid arterial occlusion evaluation scale may help optimize prehospital transport decision-making in men as well as in women with suspected stroke.

Indexed as

Arterial Occlusive DiseasesBrain IschemiaEmergency Medical ServicesIschemic StrokeStrokeAgedFemaleHumansMaleProspective StudiesSex CharacteristicsTriageacute ischemic strokeemergency medical serviceslarge vessel occlusionsexthrombectomy

Identifiers

PMID38299328
PMCPMC10896195
OpenAlexW4391439469

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.