Evidence map›Paper›PMID 32382526›Full record

Trial reportBioMed research international2020

Relationship of Platelet Counts and Inflammatory Markers to 30-Day Mortality Risk in Patients with Acute Type A Aortic Dissection.

Yiping Chen, Yanjuan Lin, Haoruo Zhang, Yanchun Peng, Sailan Li, Xizhen Huang

Abstract readClinical Trial
In one paragraph

Trial report in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

6 authors.

Yiping ChenDepartment of Nursing, Fujian Medical University Union Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0003-0685-2127
Yanjuan LinDepartment of Nursing, Fujian Medical University Union Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0001-8953-7549
Haoruo ZhangFujian Medical University, Fuzhou, China.
Yanchun PengDepartment of Nursing, Fujian Medical University Union Hospital, Fuzhou, China.
Sailan LiDepartment of Cardiac Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Xizhen HuangDepartment of Cardiac Surgery, Fujian Medical University Union Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Markers of prothrombotic state and inflammation are associated with the prognosis of patients with acute type A aortic dissection (AAAD). However, it is unclear that the relationship between these biomarkers and their combined impact on risk stratification. The present study evaluated the prognostic value of platelet counts, lymphocyte to neutrophil ratio (LNR), and lymphocyte to monocyte ratio (LMR), alone and in combination. A retrospective analysis of clinical data of 744 AAAD patients was conducted to identify whether these biomarkers were related to the 30-day mortality risk. A Kaplan-Meier analysis and log-rank test were used to compare survival between groups. A Cox hazard regression multivariable analysis was performed for 30-day mortality. Individual biomarker (platelet count, LNR, or LMR) was unable to predict 30-day mortality. However, combinations of all three biomarkers provided additive predictive value over either marker alone, the receiver operating characteristic (ROC) model had a prediction probability of 0.739 when platelet counts, LNR, and LMR were included. Cox hazard regression multivariable analysis showed that combinations of all three biomarkers were the strongest predictor of 30-day mortality (

Indexed as

AdultAgedAortic DissectionBiomarkersDisease-Free SurvivalFemaleHumansLeukocyte CountMaleMiddle AgedPlatelet CountRisk AssessmentRisk FactorsSurvival RateBiomarkers

Identifiers

PMID32382526
PMCPMC7191390

What OpenQuestion holds

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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.