Evidence map›Paper›PMID 40598328›Full record

Observational studyCritical care (London, England)2025

A prospective diagnostic study investigating urinary biomarkers of AKI in major abdominal surgery (the AKI-biomas study).

Rishabh Singh, William Maclean, Toolika Singh, Paul Mackenzie, Timothy Rockall, Lui G Forni

Abstract readObservational Study
In one paragraph

Observational study in Critical care (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline 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.

Rishabh SinghDepartment of Critical Care Medicine, Royal Surrey Hospital NHS Foundation Trust, Guildford, GU2 7XX, UK.
William MacleanDepartment of General Surgery, Royal Surrey Hospital Foundation Trust, Guildford, GU2 7XX, UK.
Toolika SinghDepartment of General Surgery, Royal Surrey Hospital Foundation Trust, Guildford, GU2 7XX, UK.
Paul MackenzieDepartment of General Surgery, Royal Surrey Hospital Foundation Trust, Guildford, GU2 7XX, UK.
Timothy RockallDepartment of General Surgery, Royal Surrey Hospital Foundation Trust, Guildford, GU2 7XX, UK.
Lui G ForniDepartment of Critical Care Medicine, Royal Surrey Hospital NHS Foundation Trust, Guildford, GU2 7XX, UK. luiforni@nhs.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-operative acute kidney injury (AKI) is associated with increased morbidity and mortality with evidence suggesting that early identification using biomarkers of AKI may impact prognosis. Most studies in surgical patients has focussed on cardiac, vascular and transplant surgery cohorts. Evidence on the utility of biomarkers in major abdominal surgery is sparse.

methodsThis was a prospective observational single centre diagnostic study conducted on 488 patients undergoing major abdominal surgery. Urine was collected four hours post-surgery. The biomarkers for AKI NGAL, KIM-1, DKK-3 and IGFBP-7*TIMP-2 were measured and diagnostic performance assessed utilising Receiver Operating Characteristic (ROC) curve analysis to predict the development of post operative AKI using serum creatinine and urine output criteria.

results242 participants developed AKI by urine output criteria (49.5%) and 43 by serum creatinine criteria (8.8%). The area under the receiver operating characteristic curve values for stage 1 AKI as determined by serum creatinine criteria for NGAL was 0.741 (95%CI 0.699-0.770, p < 0.001) and 0.871 (95%CI 0.838-0.899, p < 0.001) for stage 2. AUC values for IGFBP-7*TIMP-2 for stage 1 were 0.655 (95% CI 0.611-0.697, p0.003) and stage 2 0.803 (95%CI 0.764-0.837 p0.002). The AUC for KIM-1 was statistically significant for stage 1 (0.68, 95%CI 0.637-0.722) but not for stage 2. No AUC values for DKK-3 were statistically significant. Biomarkers performed poorly for prediction of AKI by urine output criteria.

conclusionsIn this large prospective study of a clinical cohort of 488 patients undergoing major abdominal surgery AKI rates are dependent on the criteria used with 49.5% of patients developed AKI by urine output criteria, compared to only 8.8% by serum creatinine. NGAL and IGFBP-7*TIMP-2 showed reasonable diagnostic performance when diagnosing AKI by serum creatinine criteria, with NGAL returning the highest AUC values.

Indexed as

AbdomenAcute Kidney InjuryBiomarkersAgedCreatinineFemaleHepatitis A Virus Cellular Receptor 1HumansInsulin-Like Growth Factor Binding ProteinsIntercellular Signaling Peptides and ProteinsLipocalin-2MaleMiddle AgedPostoperative ComplicationsProspective StudiesROC CurveBiomarkersCreatinineHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1insulin-like growth factor binding protein-related protein 1Insulin-Like Growth Factor Binding ProteinsIntercellular Signaling Peptides and ProteinsLCN2 protein, humanLipocalin-2Tissue Inhibitor of Metalloproteinase-2AKI (Acute kidney Injury)DKK-3 (Dicckopf-related protein 3)IGFBP-7 (insulin-like growth factor binding protein-7) and TIMP-2 (tissue inhibitor of metaloproteinase-2)KIM-1 (Kidney injury molecule-1)NGAL (Neutrophil gelatinase-associated lipocalin)

Identifiers

PMID40598328
PMCPMC12210991

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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.