Evidence map›Paper›PMID 41797722›Full record

ArticleIn vivo (Athens, Greece)

Clinical and Biochemical Predictors of 30-Day Mortality After Decompressive Craniectomy: A Retrospective Cohort Study.

Ümit Akin Dere, Yasemin Adali, Batuhan Topal, Bariş Albuz, Emrah Egemen, Fatih Yakar, Ilker Kiraz, Serkan Cilvan, Ergin Sağtaş, Aylin Köseler and 1 more

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Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Ümit Akin DereDepartment of Neurosurgery, Pamukkale University, Faculty of Medicine, Denizli, Türkiye.
Yasemin AdaliQueen's University Belfast School of Medicine Dentistry and Biomedical Sciences, Centre for Public Health, Belfast, U.K.; y.adali@qub.ac.uk.
Batuhan TopalDepartment of Neurosurgery, Pamukkale University, Faculty of Medicine, Denizli, Türkiye.
Bariş AlbuzDepartment of Neurosurgery, Pamukkale University, Faculty of Medicine, Denizli, Türkiye.
Emrah EgemenDepartment of Neurosurgery, Pamukkale University, Faculty of Medicine, Denizli, Türkiye.
Fatih YakarDepartment of Neurosurgery, Pamukkale University, Faculty of Medicine, Denizli, Türkiye.
Ilker KirazDepartment of Neurosurgery, Pamukkale University, Faculty of Medicine, Denizli, Türkiye.
Serkan CilvanDepartment of Neurosurgery, Pamukkale University, Faculty of Medicine, Denizli, Türkiye.
Ergin SağtaşDepartment of Radiology, Pamukkale University School of Medicine, Denizli, Türkiye.
Aylin KöselerDepartment of Biophysics, Pamukkale University School of Medicine, Denizli, Türkiye; akoseler@pau.edu.tr.
Mehmet Erdal CoşkunDepartment of Neurosurgery, Pamukkale University, Faculty of Medicine, Denizli, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimDecompressive craniectomy (DC) is a life-saving intervention performed in patients with severe neurological deterioration; however, early postoperative mortality remains high and reliable biochemical predictors are not well defined. This study aimed to identify early clinical and perioperative biochemical predictors of 30-day mortality in patients undergoing DC. PATIENTS AND

methodsThis single-center retrospective cohort study included 102 patients who underwent DC between 2019 and 2024. Demographic, clinical, radiological, and biochemical parameters including sodium, potassium, hematocrit, international normalized ratio (INR), C-reactive protein (CRP), and neutrophil to lymphocyte ratio (NLR) were analyzed. The primary outcome was 30-day mortality. Univariable analyses were conducted using Chi-square and

resultsThirty-day mortality occurred in 70.6% of patients. In the multivariable model, preoperative INR >1.20 (OR=25.60; 95% CI=1.89-345.82;

conclusionPreoperative INR and discharge NLR are strong independent predictors of early mortality after decompressive craniectomy, while preoperative GCS remains a key indicator of improved survival. These routinely available biochemical markers may enhance postoperative risk stratification and inform clinical decision-making in critically ill neurosurgical patients.

Indexed as

BiomarkersDecompressive CraniectomyAdultAgedFemaleHumansLymphocytesMaleMiddle AgedNeutrophilsPrognosisRetrospective StudiesRisk FactorsROC CurveTreatment OutcomeBiomarkersbrain surgeryDecompressive craniectomyepidemiologyGlasgow Coma scaleINRmortalityNLRprognostic biomarkers

Identifiers

PMID41797722
PMCPMC12969244

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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.