Evidence map›Paper›PMID 37378932›Full record

ReviewAsian Pacific journal of cancer prevention : APJCP2023

Sequential Application and Post-Test Probability for Screening of Bladder Cancer Using Urinary Proteomic Biomarkers: A Review based Probabilistic Analysis.

Aparna Varma Bhongir, Sangeetha Sampath, Rohit Kumar Bonthapally, Kiran Kumar Gudivada, Gomathi Ramaswamy

Open access · goldAbstract readReview
In one paragraph

Review in Asian Pacific journal of cancer prevention : APJCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 25% 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.

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, 3 citations in OpenAlex.

  1. Article
  2. Alternating intravesical instillation of Bacillus Calmette-Guérin andAmerican journal of translational research · 2025
    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

5 authors at 1 institution in 1 country.

Aparna Varma BhongirDepartment of Biochemistry, All India Institute of Medical Sciences, Bibinagar, Telangana, India.
Sangeetha SampathDepartment of Biochemistry, All India Institute of Medical Sciences, Bibinagar, Telangana, India.
Rohit Kumar BonthapallyDepartment of Biochemistry, All India Institute of Medical Sciences, Bibinagar, Telangana, India.ORCID 0000-0001-9224-5790
Kiran Kumar GudivadaDepartment of Anaesthesia, All India Institute of Medical Sciences, Bibinagar, Telangana, India.
Gomathi RamaswamyDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Bibinagar, Telangana, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBladder cancer is one of the most common cancers in the world, with men being affected more than women. Diagnosis by cystoscopy, cytology and biopsy is invasive. Urine cytology, a non-invasive modality is not sensitive. This study is undertaken to evaluate whether non- invasive urinary proteomic profiling is more sensitive, specific for bladder cancer.

objectiveTo evaluate the sensitivity and specificity of various urinary proteomic biomarkers as a screening tool for bladder cancer.

methodsPubMed database was searched from 4th December 2011 to 30th November 2021 using Mesh terms and n = 10,364 articles were found. PRISMA guidelines were followed and Review articles, animal studies, Urinary tract infections, non-bladder cancer and other irrelevant articles were excluded. All studies who have reported mean/median (SD/IQR), sensitivity, specificity, cut off values (ROC analysis) were included (n=5). Post-test probability of various biomarkers was calculated using sequential approach. Pooled analysis was depicted using Forest plot.

resultsAnalysis of diagnostic studies of bladder cancer showed the post-test probability of CYFRA21-1 was 36.6%. Using sequential approach, the panel of biomarkers CYFRA 21-1, CA-9, APE-1, COL13A1 has post-test probability of 95.10% to diagnose bladder cancer. Analysis of two observational studies with APOE (n= 447) showed non-significant increase of APO-E levels in bladder cancer cases (WMD: 66.41with 95% CI 52.70-185.51; p=0.27, I2 92.4%).

conclusionIn patients presenting with hematuria, a panel of CYFRA 21-1, CA-9, APE-1, COL13A1 markers can be considered for screening of bladder cancer.

Indexed as

Urinary Bladder NeoplasmsAntigens, NeoplasmBiomarkers, TumorCystoscopyEarly Detection of CancerFemaleHumansKeratin-19ProbabilityProteomicsSensitivity and Specificityantigen CYFRA21.1Antigens, NeoplasmBiomarkers, TumorKeratin-19APE-1APO-ECA-9COL13A1CYFRA 21-1

Identifiers

PMID37378932
PMCPMC10505882
OpenAlexW4382343778

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.