Evidence map›Paper›PMID 41095594›Full record

ArticleHealthcare (Basel, Switzerland)2025

Predicting Factors Associated with Extended Hospital Stay After Postoperative ICU Admission in Hip Fracture Patients Using Statistical and Machine Learning Methods: A Retrospective Single-Center Study.

Volkan Alparslan, Sibel Balcı, Ayetullah Gök, Can Aksu, Burak İnner, Sevim Cesur, Hadi Ufuk Yörükoğlu, Berkay Balcı, Pınar Kartal Köse, Veysel Emre Çelik and 2 more

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 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

12 authors.

Volkan AlparslanDepartment of Anaesthesiology and Reanimation, Faculty of Medicine, Kocaeli University, 41001 Kocaeli, Turkey.ORCID 0000-0002-7224-0578
Sibel BalcıDepartment of Biostatistics and Medical Informatics, Faculty of Medicine, Kocaeli University, 41001 Kocaeli, Turkey.
Ayetullah GökDepartment of Orthopedics and Traumatology, Faculty of Medicine, Kocaeli University, 41001 Kocaeli, Turkey.
Can AksuDepartment of Anaesthesiology and Reanimation, Faculty of Medicine, Kocaeli University, 41001 Kocaeli, Turkey.
Burak İnnerDepartment of Computer Engineering, Kocaeli University, 41001 Kocaeli, Turkey.ORCID 0000-0003-0933-654X
Sevim CesurDepartment of Anaesthesiology and Reanimation, Faculty of Medicine, Kocaeli University, 41001 Kocaeli, Turkey.
Hadi Ufuk YörükoğluDepartment of Anaesthesiology and Reanimation, Faculty of Medicine, Kocaeli University, 41001 Kocaeli, Turkey.
Berkay BalcıDepartment of Anaesthesiology and Reanimation, Faculty of Medicine, Kocaeli University, 41001 Kocaeli, Turkey.ORCID 0009-0000-7960-0487
Pınar Kartal KöseDepartment of Anaesthesiology and Reanimation, Faculty of Medicine, Kocaeli University, 41001 Kocaeli, Turkey.
Veysel Emre ÇelikDepartment of Orthopedics and Traumatology, Faculty of Medicine, Kocaeli University, 41001 Kocaeli, Turkey.
Serdar DemirözDepartment of Orthopedics and Traumatology, Faculty of Medicine, Kocaeli University, 41001 Kocaeli, Turkey.ORCID 0000-0002-2403-3750
Alparslan KuşDepartment of Anaesthesiology and Reanimation, Faculty of Medicine, Kocaeli University, 41001 Kocaeli, Turkey.ORCID 0000-0001-6381-6371

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

hip fracturehospital length of staymachine learningpostoperative intensive carepredictive modelingSHAP analysisXGBoost

Identifiers

PMID41095594
PMCPMC12524269

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.