Evidence map›Paper›PMID 38057904›Full record

SynthesisCritical care (London, England)2023

Proenkephalin as a biomarker correlates with acute kidney injury: a systematic review with meta-analysis and trial sequential analysis.

Li-Chun Lin, Min-Hsiang Chuan, Jung-Hua Liu, Hung-Wei Liao, Leong L Ng, Martin Magnusson, Amra Jujic, Heng-Chih Pan, Vin-Cent Wu, Lui G Forni

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Critical care (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Observational
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  18. Biomarkers as Beacons: Illuminating Sepsis-Associated Hepato-Renal Injury.International journal of molecular sciences · 2025
    Review
  19. Article
  20. 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

10 authors.

Li-Chun LinDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Min-Hsiang ChuanDepartment of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan.
Jung-Hua LiuDepartment of Communication, National Chung Cheng University, Chiayi, Taiwan.
Hung-Wei LiaoDivision of Nephrology, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Leong L NgDepartment of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Groby Road, Leicester, UK.
Martin MagnussonDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Amra JujicDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Heng-Chih PanDivision of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, 222 Mai-Jin Road, Keelung, 204, Taiwan. hengchihpan0107@gmail.com.
Vin-Cent WuDivision of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Lui G ForniDepartment of Critical Care, Royal Surrey Hospital Foundation Trust, Guildford, UK. luiforni@nhs.net.

Funding

Ministry of Science and Technology (MOST) of the Republic of China (Taiwan) MOST 106-2321-B-182-002Ministry of Science and Technology (MOST) of the Republic of China (Taiwan) MOST 107-2321-B-182-004Ministry of Science and Technology (MOST) of the Republic of China (Taiwan) MOST 108-2321-B-182-003Ministry of Science and Technology (MOST) of the Republic of China (Taiwan) MOST 109-2321-B-182-001National Health Research Institutes PH-102-SP-09National Taiwan University Hospital 106-FTN20National Taiwan University Hospital 106-P02National Taiwan University Hospital 106-S3582National Taiwan University Hospital 107-S3809National Taiwan University Hospital 107-T02National Taiwan University Hospital 109-S4634National Taiwan University Hospital PC1246National Taiwan University Hospital UN106-014National Taiwan University Hospital UN109-041National Taiwan University Hospital VN109-09Taiwan National Science Council 104-2314-B-002-125-MY3Taiwan National Science Council 106-2314-B-002-166-MY3Taiwan National Science Council 107-2314-B-002-026-MY3
6 · The paper itself

Abstract

backgroundProenkephalin A 119-159 (PENK) is freely filtered in the glomerulus with plasma levels correlating with glomerular filtration rate. Therefore, PENK has been proposed as an early indicator of acute kidney injury (AKI) although its performance is dependent on the clinical setting. This meta-analysis aimed to investigate the correlation between PENK levels and the development of AKI.

methodsWe conducted a comprehensive search on the PubMed, Embase, Cochrane databases, the website ClinicalTrials.gov and Cnki.net until June 26, 2023. Summary receiver operating characteristic (SROC) curves were used to amalgamate the overall test performance. Diagnostic odds ratio (DOR) was employed to compare the diagnostic accuracy of PENK with other biomarkers. Quality of the evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) criteria.

resultsWe incorporated 11 observational studies with 3969 patients with an incidence of AKI of 23.4% (929 out of 3969 patients) with the best optimal cutoff value of PENK for early detection of AKI being 57.3 pmol/L. The overall sensitivity and specificity of PENK in identifying AKI were 0.69 (95% CI 0.62-0.75) and 0.76 (95% CI 0.68-0.82), respectively. The combined positive likelihood ratio (LR) stood at 2.83 (95% CI 2.06-3.88), and the negative LR was 0.41 (95% CI 0.33-0.52). The SROC curve showcased pooled diagnostic accuracy of 0.77 (95% CI 0.73-0.81). Interestingly, patients with a history of hypertension or heart failure demonstrated a lower specificity of PENK in correlating the development of AKI.

conclusionOur results indicate that PENK possesses significant potential as a biomarker for the early detection of the development of AKI, using a cutoff point of 57.3 pmol/L for PENK.

Indexed as

Acute Kidney InjuryHeart FailureBiomarkersEnkephalinsGlomerular Filtration RateHumansProtein PrecursorsBiomarkersEnkephalinsproenkephalinProtein PrecursorsAcute kidney injuryBiomarkerMeta-analysisProenkephalin

Identifiers

PMID38057904
PMCPMC10702091

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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.