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ArticleIndian journal of urology : IJU : journal of the Urological Society of India

Diagnostic accuracy of urinary aquaporin-1 as a biomarker for renal cell carcinoma.

Abhilash Cheriyan, Arun Jose Nellickal, Nirmal Thampi John, Lakshmanan Jeyaseelan, Santosh Kumar, Antony Devasia, Nitin Kekre

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Article in Indian journal of urology : IJU : journal of the Urological Society of India. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 59% 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

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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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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

7 authors at 1 institution in 1 country.

Abhilash CheriyanDepartment of Urology, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
Arun Jose NellickalDepartment of Clinical Biochemistry, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
Nirmal Thampi JohnDepartment of Urology, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
Lakshmanan JeyaseelanDepartment of Biostatistics, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
Santosh KumarDepartment of Urology, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
Antony DevasiaDepartment of Urology, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
Nitin KekreDepartment of Urology, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
Christian Medical College, Vellore · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOptimal patient selection plays a vital role in management of renal tumors with the introduction of nephron-sparing approaches and active surveillance. A reliable and accurate diagnostic biomarker will be a useful adjunct to decision-making. We studied the diagnostic accuracy of urinary aquaporin-1 (uAQP-1), an upcoming urinary biomarker, for renal cell carcinoma. MATERIALS AND

methodsIn this prospective biomarker study, urine samples were obtained preoperatively from 36 patients with an imaged renal mass suggestive of RCC and 24 healthy age-matched controls, chosen from among voluntary kidney donors. uAQP-1 concentrations were estimated with a sensitive and specific enzyme-linked immunosorbent assay (ELISA) and normalized by estimation of urinary creatinine. The Mann-Whitney U-test was used to compare differences between any two groups. A receiver operator characteristic (ROC) curve was plotted to analyze the diagnostic accuracy of uAQP-1 for RCC.

resultsThe median uAQP-1 concentration among the cases and controls was 8.78 ng/mg creatinine (interquartile range [IQR]: 5.56-12.67) and 9.52 ng/mg creatinine (IQR: 5.55-12.45), respectively. There was no significant difference in uAQP-1 concentrations between the two groups. ROC analysis showed that, for a cutoff value of 8 ng/mg creatinine, the sensitivity and specificity of uAQP-1 as a diagnostic test were 47.2% and 66.7%, respectively, and area under the curve was 0.52 (95% confidence interval: 0.42-0.62).

conclusionsuAQP-1 concentrations did not discriminate between healthy individuals and patients with RCC. The results of this study suggest that uAQP-1 may not be a suitable diagnostic biomarker for RCC in the study population.

Identifiers

PMID33850357
PMCPMC8033244
OpenAlexW3118679338

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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.