Evidence map›Paper›PMID 39001547›Full record

ArticleCancers2024

Enhancing Cervical Cancer Screening with 7-Type HPV mRNA E6/E7 Testing on Self-Collected Samples: Multicentric Insights from Mexico.

Carlos Eduardo Aranda Flores, Bente Marie Falang, Laura Gómez-Laguna, Guillermo Gómez Gutiérrez, Jorge Miguel Ortiz León, Miguel Uribe, Omar Cruz, Sveinung Wergeland Sørbye

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. 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

8 authors.

Carlos Eduardo Aranda FloresOncology Service, Hospital General de México "Dr. Eduardo Liceaga", Ciudad de México 06720, Mexico.
Bente Marie FalangPreTect AS, 3490 Klokkarstua, Norway.
Laura Gómez-LagunaOncology Service, Hospital General de México "Dr. Eduardo Liceaga", Ciudad de México 06720, Mexico.
Guillermo Gómez GutiérrezOncology Service, Hospital General de México "Dr. Eduardo Liceaga", Ciudad de México 06720, Mexico.
Jorge Miguel Ortiz LeónOncology Service, Hospital General de México "Dr. Eduardo Liceaga", Ciudad de México 06720, Mexico.
Miguel UribeReyna Madre Clinc, Toluca de Lerdo 50120, Mexico.
Omar CruzColposcopy Clinic "Fundacion Dr. Fernando Cruz Talonia", Ciudad de México 09440, Mexico.
Sveinung Wergeland SørbyeDepartment of Clinical Pathology, University Hospital of North Norway, 9019 Tromsø, Norway.ORCID 0000-0002-8250-3992

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer remains a significant public health issue, particularly in regions with low screening uptake. This study evaluates the effectiveness of self-sampling and the 7-type HPV mRNA E6/E7 test in improving cervical cancer screening outcomes among a referral population in Mexico. A cohort of 418 Mexican women aged 25 to 65, referred for colposcopy and biopsy due to abnormal cytology results (ASC-US+), participated in this study. Self-samples were analyzed using both the 14-type HPV DNA test and the 7-type HPV mRNA E6/E7 test. The study assessed the sensitivity, specificity, positive predictive value (PPV), and the necessity of colposcopies to detect CIN3+ lesions. Participant acceptability of self-sampling was also evaluated through a questionnaire. The 7-type HPV mRNA E6/E7 test demonstrated equivalent sensitivity but significantly higher specificity (77.0%) and PPV for CIN3+ detection compared to the 14-type HPV DNA test (specificity: 45.8%,

Indexed as

cervical cancerE6/E7HPV mRNAHPV screeninghuman papillomavirusnegative predictive valuepositive predictive valuerisk stratificationself-sampling

Identifiers

PMID39001547
PMCPMC11240307

What OpenQuestion holds

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Registered trials

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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.