Evidence map›Paper›PMID 40731746›Full record

ArticleMedicina (Kaunas, Lithuania)2025

Development of the GDF-TRACK-AKI Score for Predicting Acute Kidney Injury in Patients with Rhabdomyolysis Due to Excessive Exercise or Trauma.

Oğuzhan Zengin, Burak Göre, Melike Yakut, Mustafa Yaylalı, Muhammet Göv, Safa Dönmez, Gülhan Kurtoğlu Çelik, Gül Pamukçu Günaydın, Esma Andaç Uzdoğan, Emra Asfuroğlu Kalkan and 1 more

Abstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Oğuzhan ZenginDepartment of Internal Medicine, University of Health Sciences, Ankara Bilkent City Hospital, Ankara 06800, Türkiye.ORCID 0000-0001-6575-4450
Burak GöreDepartment of Internal Medicine, Çerkeş State Hospital, Çankırı 18600, Türkiye.ORCID 0000-0002-6082-8323
Melike YakutDepartment of Internal Medicine, Çifteler State Hospital, Eskişehir 26700, Türkiye.
Mustafa YaylalıDepartment of Internal Medicine, Ankara Bilkent City Hospital, Ankara 06800, Türkiye.ORCID 0009-0002-8128-1969
Muhammet GövDepartment of Internal Medicine, Mihalıççık Gün Sazak State Hospital, Eskişehir 26900, Türkiye.ORCID 0000-0001-9973-2954
Safa DönmezEmergency Medicine Department, Ankara Bilkent City Hospital, Ankara 06800, Türkiye.
Gülhan Kurtoğlu ÇelikEmergency Medicine Department, Ankara Bilkent City Hospital, Ankara 06800, Türkiye.
Gül Pamukçu GünaydınEmergency Medicine Department, Ankara Bilkent City Hospital, Ankara 06800, Türkiye.
Esma Andaç UzdoğanDepartment of Medical Biochemistry, Ankara Bilkent City Hospital, Ankara 06800, Türkiye.ORCID 0000-0003-2950-2680
Emra Asfuroğlu KalkanDepartment of Internal Medicine, University of Health Sciences, Ankara Bilkent City Hospital, Ankara 06800, Türkiye.
İhsan AteşDepartment of Internal Medicine, University of Health Sciences, Ankara Bilkent City Hospital, Ankara 06800, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Acute Kidney InjuryExerciseGrowth Differentiation Factor 15RhabdomyolysisWounds and InjuriesAdultAgedBiomarkersCreatine KinaseFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesROC CurveBiomarkersCreatine KinaseGDF15 protein, humanGrowth Differentiation Factor 15acute kidney injurycreatine kinaseexcessive exerciseGDF-TRACK-AKI scoregrowth differentiation factor-15rhabdomyolysistrauma

Identifiers

PMID40731746
PMCPMC12298336

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.