Evidence map›Paper›PMID 40123630›Full record

ReviewIndian journal of clinical biochemistry : IJCB2025

Metabolomic Biomarkers for Prognosis in Non-Muscle Invasive Bladder Cancer: A Comprehensive Systematic Review and Meta-Analysis.

Vishwajeet Singh, Mukul Kumar Singh, Anil Kumar, Dinesh Kumar Sahu, Mayank Jain, Anuj Kumar Pandey, Mantasha, Shubhendu Singh, Ajay Kumar Verma

Abstract readReview
In one paragraph

Review in Indian journal of clinical biochemistry : IJCB, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

9 authors.

Vishwajeet SinghDepartment of Urology, King George's Medical University, Lucknow, Uttar Pradesh India.
Mukul Kumar SinghDepartment of Urology, King George's Medical University, Lucknow, Uttar Pradesh India.
Anil KumarDepartment of Urology, King George's Medical University, Lucknow, Uttar Pradesh India.
Dinesh Kumar SahuCentral Research Facility, Post Graduate Institute of Child Health, Noida, Uttar Pradesh India.
Mayank JainDepartment of Thoracic Surgery, King George's Medical University, Lucknow, Uttar Pradesh India.
Anuj Kumar PandeyRespiratory Medicine, King George's Medical University, Lucknow, Uttar Pradesh India.
MantashaIndian Health Action Trust, Bengaluru, Karnataka India.
Shubhendu SinghSantosh Deemed to Be University, Ghaziabad, Uttar Pradesh India.
Ajay Kumar VermaRespiratory Medicine, King George's Medical University, Lucknow, Uttar Pradesh India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognostic biomarkers, or metabolites, have gained relevance due to their significance in predicting clinical and therapeutic outcomes and guiding informed therapy options. This systematic review and meta-analysis aimed to evaluate the prognostic significance of metabolites in non-muscle-invasive bladder cancer (NMIBC) through an array of literature. The PubMed, Web of Science, Embase, and Cochrane Library databases were comprehensively searched for eligible studies published between January 2010 and August 2022, using related keywords and MeSH terms. Two reviewers performed the extraction process, and a third reviewer settled possible controversies. The New Castle Ottawa scale (NOS) was used to determine the quality of selected studies. Pooled hazard ratios (H.R.s) with 95% confidence intervals (C.I.s) were calculated to establish the relationship of metabolites with NMIBC outcomes (recurrence-free survival (RFS), progression-free survival (PFS), and overall survival (O.S.) to establish their prognostic roles. A total of 15 studies, with a sample size of 5491, were included and analyzed in this study. Various metabolites were found to be correlated with the outcomes of the study: PFS (pooled HR, 4.48; 95% CI, 1.70-11.80, p = 0.002), RFS (pooled HR, 2.85; 95% CI, 1.91-4.26; p = 0.00001), and OS (HR, 1.78; 95% CI, 1.07-2.98; p = 0.03). Pretreatment metabolites or markers in NMIBC patients had a relationship with recurrence prediction and disease outcomes in bladder cancer. Therefore, metabolites may equally serve as a critical, independent prognostic predictor for NMIBC patients. This could be considered in most related clinical decisions in bladder cancer.

Indexed as

Bladder CancerMetabolitePrognostic MarkersProgressionRecurrence

Identifiers

PMID40123630
PMCPMC11928707

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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.