Evidence map›Paper›PMID 36694779›Full record

ArticlePakistan journal of medical sciences

Efficacy of multiple Biomarkers: NGAL, KIM1, Cystatin C and IL18 in predicting pregnancy related acute kidney injury.

Rubina Naqvi, Nazli Hossain, Sofia Butt, Zeenat Bhellar, Erum Fatima, Sanam Imtiaz, Palwasha Ghulam Moosa, Khawar Abbas, Salma Batool Jafri, Sadia Khan

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07040696 (Accuracy of the Venous Excess Ultrasound Score at Hospital Admission to Predict Acute Kidney Injury in Preeclampsia With Severe Features), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% of its field
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.

NCT07040696 completednot on this map

Accuracy of the Venous Excess Ultrasound Score at Hospital Admission to Predict Acute Kidney Injury in Preeclampsia With Severe Features: A Prospective Observational Study

TypeobservationalSponsorCairo UniversityRan2025 to 2026Enrolled70ConditionsPreeclampsia, Acute Kidney InjuryArmsVenous excess ultrasound score (VEXUS)
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Biomarkers as Beacons: Illuminating Sepsis-Associated Hepato-Renal Injury.International journal of molecular sciences · 2025
    Review
  8. Review
  9. Article
  10. 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 at 1 institution in 1 country.

Rubina NaqviRubina Naqvi, Dept. of Nephrology, Sindh Institute of Urology and Transplantation (SIUT), Karachi. 74200. Pakistan.
Nazli HossainNazli Hossain, Dept. of Obstetrics and Gynecology, Unit II, Ruth Pfau KM Civil Hospital, Karachi. 74200. Pakistan.
Sofia ButtSofia Butt, Dept. of Obstetrics and Gynecology, Unit II, Ruth Pfau KM Civil Hospital, Karachi. 74200. Pakistan.
Zeenat BhellarZeenat Bhellar, Dept. of Obstetrics and Gynecology, Unit II, Ruth Pfau KM Civil Hospital, Karachi. 74200. Pakistan.
Erum FatimaErum Fatima, Dept. of Obstetrics and Gynecology, Unit II, Ruth Pfau KM Civil Hospital, Karachi. 74200. Pakistan.
Sanam ImtiazSanam Imtiaz, Dept. of Nephrology, Sindh Institute of Urology and Transplantation (SIUT), Karachi. 74200. Pakistan.
Palwasha Ghulam MoosaPalwasha Ghulam Moosa, Dept. of Nephrology, Sindh Institute of Urology and Transplantation (SIUT), Karachi. 74200. Pakistan.
Khawar AbbasKhawar Abbas, Dept. of Lab Sciences, Sindh Institute of Urology and Transplantation (SIUT), Karachi. 74200. Pakistan.
Salma Batool JafriSalma Batool Jafri, Dept. of Lab Sciences, Sindh Institute of Urology and Transplantation (SIUT), Karachi. 74200. Pakistan.
Sadia KhanSadia Khan, Dept. of Lab Sciences, Sindh Institute of Urology and Transplantation (SIUT), Karachi. 74200. Pakistan.
Instituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Several biomarkers like NGAL, KIM-1, IL-18, and Cystatin C has been previously reported as reliable marker to predict AKI. However, their predictive accuracy varies widely. We aim to observe the efficacy of multiple markers, NGAL, KIM-1, Cystatin C and IL-18, in obstetric population who are at risk of developing AKI. Methods: This prospective study was carried out between June 2021 to March 2022 at Department of Obstetrics & Gynecology Unit II, Ruth Pfau KM Civil Hospital and Sindh Institute of Urology & Transplant (SIUT), Karachi Pakistan. On women brought to OBGYN-ER with the diagnosis of hemorrhage (antepartum and postpartum), hypertension (pre-eclampsia and eclampsia) and sepsis. The urine samples and 3cc blood was collected at the time of admission, blood sample processed for biochemistry at time of admission and repeat blood samples for serum creatinine at 24 and 48 hours. Urine was stored at -80ºC and later evaluated for NGAL, KIM-1, Cystatin C and IL-18. Serum Cystatin C was also processed for the time zero sample. The biomarkers were tested using ELISA assays. Results: A total of 149 women were included in the study, 83% of these women were non-booked. Twenty-six (17%) women developed AKI. Serum Cystatin C, urinary Cystatin C and urinary NGAL were found significantly raised in women who developed AKI. While KIM-1 and IL-18 were not raised to statistical significance in this population. However, urinary KIM-1 along with urinary Cystatin C were significantly raised in women with positive quick sequential organ failure assessment (qSOFA). Conclusion: This study validates the use of serum and urinary Cystatin C and urinary NGAL as highly predictable biomarkers for the development of AKI and nullifies urinary IL-18 and KIM-1 in this regard.

Indexed as

Acute Kidney injury (AKI)Cystatin CIL-18KIM-1NGAL

Identifiers

PMID36694779
PMCPMC9842994
OpenAlexW4309561260

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.