Evidence map›Paper›PMID 41672741›Full record

ArticleRenal failure2026

Acute intermittent hemodialysis management: a single center experience.

Yasemin Kıraç, Ayşegül Alpcan, Yaşar Kandur, Hatice Aktaş

Abstract read
In one paragraph

Article in Renal failure, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Yasemin KıraçDivision of Nephrology, School of Medicine, Kırıkkale University, Turkey.ORCID 0009-0004-8625-2002
Ayşegül AlpcanDepartment of Pediatrics, School of Medicine, Kırıkkale University, Kırıkkale, Turkey.ORCID 0000-0001-9447-4263
Yaşar KandurDivision of Pediatric Nephrology, School of Medicine, Kırıkkale University, Kırıkkale, Turkey.ORCID 0000-0002-8361-5558
Hatice AktaşDepartment of Internal Medicine, School of Medicine, Kırıkkale University, Kırıkkale, Turkey.ORCID 0000-0003-1460-2099

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This retrospective study evaluated prognostic factors affecting outcomes in patients with acute kidney injury (AKI) treated with acute intermittent hemodialysis (IHD). Medical records of 193 patients treated between 2014 and 2024 were reviewed. Patients were categorized as recovered, deceased, chronic kidney disease without dialysis (CKD-ND), or chronic kidney disease with dialysis (CKD-D). The main indications for dialysis were hypervolemia (64.8%) and uremia (24.9%). Overall mortality was 50.8%, while 23.8% recovered, 21.2% developed CKD, and 4.1% became dialysis-dependent. Significant differences among outcome groups were found in age and serum concentration of serum creatinine, urea, sodium, phosphorus, calcium, C-reactive protein (CRP), albumin. Multivariate logistic regression analysis identified lower creatinine and calcium levels, as well as higher sodium, urea, and CRP concentrations, as independent predictors of mortality. In conclusion, our findings highlight the prognostic importance of biochemical and inflammatory markers in AKI patients undergoing IHD. Early identification and correction of electrolyte and inflammatory disturbances may improve patient outcomes.

Indexed as

Acute Kidney InjuryIntermittent Renal Replacement TherapyRenal DialysisRenal Insufficiency, ChronicAgedBiomarkersC-Reactive ProteinCreatinineFemaleHumansLogistic ModelsMaleMiddle AgedPhosphorusPrognosisRetrospective StudiesBiomarkersC-Reactive ProteinCreatininePhosphorusUreaAcute intermittent hemodialysisacute kidney injurycreatinineoutcome

Identifiers

PMID41672741
PMCPMC12895864

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.