Evidence map›Paper›PMID 39844244›Full record

Observational studyBMC research notes2025

Results comparison of cervical cancer early detection using cerviray ® with VIA test.

Ali Budi Harsono, Hadi Susiarno, Dodi Suardi, Kemala Isnainiasih Mantilidewi, Viko Duvadilan Wibowo, Yudi Mulyana Hidayat

Registry-linked trialAbstract readComparative StudyObservational Study
In one paragraph

Observational study in BMC research notes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06518070 (Results Comparison of Cervical Cancer Early Detection Using Cerviray With VIA Test), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

NCT06518070 completednot on this map

Results Comparison of Cervical Cancer Early Detection Using Cerviray With VIA Test

Typeobservational_patient_registrySponsorUniversitas PadjadjaranRan2023 to 2023Enrolled44ConditionsCervical CancerArmsCerviray AI
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

6 authors.

Ali Budi HarsonoDepartment of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjadjaran-Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.
Hadi SusiarnoDepartment of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjadjaran-Dr. Hasan Sadikin General Hospital, Bandung, Indonesia. hadi.susiarno@unpad.ac.id.
Dodi SuardiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjadjaran-Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.
Kemala Isnainiasih MantilidewiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjadjaran-Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.
Viko Duvadilan WibowoDepartment of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjadjaran-Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.
Yudi Mulyana HidayatDepartment of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjadjaran-Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study investigates the performance of artificial intelligence (AI) technology, namely Cerviray AI

resultsThe study involved 44 patients from various health centers in West Java Province. Performance of Cerviray AI

trial registrationClinical Trials.gov Identifier NCT06518070 Retrospectively registered.

Indexed as

Acetic AcidArtificial IntelligenceEarly Detection of CancerUterine Cervical NeoplasmsAdultArea Under CurveFemaleHumansMiddle AgedPredictive Value of TestsROC CurveSensitivity and SpecificityYoung AdultAcetic AcidCervical cancerCervirayEarly detectionVIA test

Identifiers

PMID39844244
PMCPMC11752994

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.