Evidence map›Paper›PMID 39844121›Full record

ArticleBMC neurology2025

The influence of baseline platelet on mortality risk in stroke and cancer patients: a cross-sectional analysis of the NHANES database.

Yuqi Pei, Wei Ouyang, Peiyun Qi, Zhongjie Yan, Yaoru Li, Xiangjian Zhang, Cong Zhang, Lili Cui

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC neurology, 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.

Yuqi PeiDepartment of Neurology, The Second Hospital of Hebei Medical University, NO.309 Zhonghuabei Street, Hebei, 050000, China.
Wei OuyangDepartment of Neurology, The Second Hospital of Hebei Medical University, NO.309 Zhonghuabei Street, Hebei, 050000, China.
Peiyun QiDepartment of Neurology, The Second Hospital of Hebei Medical University, NO.309 Zhonghuabei Street, Hebei, 050000, China.
Zhongjie YanDepartment of Neurosurgery, the Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, China.
Yaoru LiThe Fourth Department of Cerebrovascular Disease, Cangzhou Central Hospital, No. 50 Xinhua West Road, Yunhe District, Cangzhou, 061000, Hebei Province, China.
Xiangjian ZhangDepartment of Neurology, The Second Hospital of Hebei Medical University, NO.309 Zhonghuabei Street, Hebei, 050000, China.
Cong ZhangDepartment of Neurology, The Second Hospital of Hebei Medical University, NO.309 Zhonghuabei Street, Hebei, 050000, China. oicongcong@sina.com.
Lili CuiDepartment of Neurology, The Second Hospital of Hebei Medical University, NO.309 Zhonghuabei Street, Hebei, 050000, China. lltaylor2021@sina.com.

Funding

Hebei Province Central Guidance Local Science and Technology Development Fund Project 246Z7764GHebei Province Medical Science Research Key Project 20170114 and 20200304Natural Science Foundation of Hebei Province H2024206090
6 · The paper itself

Abstract

backgroundPlatelet count and function may be closely related to survival and prognosis of stroke and cancer. However, little is known on the impact of platelet count on the patients with a history of stroke and cancer. This study aimed to examine the association between baseline platelet level and all-cause mortality in this population using a cross-sectional analysis.

methodsParticipants with a history of stroke and cancer were selected from the database of the National Health and Nutrition Examination Survey from 2007 to 2018. A maximum selected rank statistic was conducted to determine platelet cutoff with the most significant association with mortality. The association between platelet and mortality was characterized visually using restricted cubic spline (RCS). Weighted multivariable Cox regression models were performed to evaluate the association between platelet count and mortality. Time-dependent receiver operating characteristic (ROC) analysis was conducted to assess the accuracy of platelet count in predicting mortality.

resultsForty-three (43/113, 38.05%) stroke patients with cancer were alive at a median follow-up of 42 months (interquartile range, 23-74 months). The RCS analysis demonstrated a linear relationship between platelet and mortality (nonlinear, p = 0.352). Mortality in higher-platelet group (> 209 × 10

conclusionsLower platelet count may be an independent predictor of all-cause mortality in population with a history of stroke and cancer. This result may provide valuable insights for the long-term management in stroke patients with cancer.

Indexed as

Blood PlateletsNeoplasmsStrokeAgedCross-Sectional StudiesDatabases, FactualFemaleHumansMaleMiddle AgedNutrition SurveysPlatelet CountRisk FactorsUnited StatesAll-cause mortalityCancerPlateletPrognosisStroke

Identifiers

PMID39844121
PMCPMC11752736

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Registered trials

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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.