Evidence map›Paper›PMID 39033250›Full record

ArticleScientific reports2024

Prognostic value of platelet levels in patients with aneurysmal Subarachnoid Hemorrhage.

Igor Fischer, Ronahi Lala, Daniel M Donaldson, Simon Schieferdecker, Björn B Hofmann, Jan Frederick Cornelius, Sajjad Muhammad

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Microthrombi and hypercoagulability's contribution to delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  2. Observational
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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

7 authors.

Igor FischerDepartment of Neurosurgery, Medical Faculty, University Hospital Düsseldorf, Heinrich-Heine-University, Dusseldorf, Germany. igor.fischer@med.uni-duesseldorf.de.
Ronahi LalaDepartment of Neurosurgery, Medical Faculty, University Hospital Düsseldorf, Heinrich-Heine-University, Dusseldorf, Germany.
Daniel M DonaldsonDepartment of Neurosurgery, Medical Faculty, University Hospital Düsseldorf, Heinrich-Heine-University, Dusseldorf, Germany.
Simon SchieferdeckerDepartment of Neurosurgery, Medical Faculty, University Hospital Düsseldorf, Heinrich-Heine-University, Dusseldorf, Germany.
Björn B HofmannDepartment of Neurosurgery, Medical Faculty, University Hospital Düsseldorf, Heinrich-Heine-University, Dusseldorf, Germany.
Jan Frederick CorneliusDepartment of Neurosurgery, Medical Faculty, University Hospital Düsseldorf, Heinrich-Heine-University, Dusseldorf, Germany.
Sajjad MuhammadDepartment of Neurosurgery, Medical Faculty, University Hospital Düsseldorf, Heinrich-Heine-University, Dusseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathophysiological processes following aneurysmal subarachnoid hemorrhage (aSAH) include upregulated underlying systemic inflammation, which is reflected by changes in different peripheral blood cells and their sub-populations. As inflammation is a crucial process that contributes to post-aSAH complications and clincal outcome, blood cell numbers and ratios in systemic circulation may predict the outcome and provide rapid and easy to quantify point of care biomarkers for these critically ill patients. To identify blood-derived cellular inflammatory parameters which allow a precise prediction of patient outcome after aSAH. In this single-center retrospective study, 19 whole blood-derived cellular inflammatory markers and clinical and demographic parameters for 101 aSAH patients were recorded within 24 h after aSAH. Clinical outcome was quantified with modified Rankin scale (mRS) on discharge. Proportional odds logistic regression (POLR) was used to model the patient outcome as the function of clinical parameters and inflammatory markers. The results were validated on a separate hold-out dataset (220 patients). The on-admission platelet count, mean platelet volume (MPV) and mean platelet volume to platelet ratio (MPR) were found to be significant and predictive of patient outcome on discharge. Mean platelet volume (MPV) and mean platelet volume to platelet ratio (MPR) predicted clinical outcome and may serve as easy to quantify point of care biomarker. The findings are potentially relevant for the management of aSAH.

Indexed as

BiomarkersBlood PlateletsSubarachnoid HemorrhageAdultAgedFemaleHumansMaleMean Platelet VolumeMiddle AgedPlatelet CountPrognosisRetrospective StudiesBiomarkersCBCNeuroinflammationPredictive modelSAH

Identifiers

PMID39033250
PMCPMC11271284

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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.