Evidence map›Paper›PMID 36438621›Full record

ArticleOpen forum infectious diseases2022

High-Risk HPV Genotype Distribution According to Cervical Cytology and Age.

Jason P Trama, Charulata Trikannad, Jing Jing Yang, Martin E Adelson, Eli Mordechai

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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.

Jason P TramaInstitute for Biomarker Research, Genesis Biotechnology Group, Hamilton, New Jersey, USA.ORCID https://orcid.org/0000-0002-1147-6325
Charulata TrikannadIT Department, Genesis Biotechnology Group, Hamilton, New Jersey, USA.
Jing Jing YangPathology Department, Genesis Biotechnology Group, Hamilton, New Jersey, USA.
Martin E AdelsonGenesis Biotechnology Group, Hamilton, New Jersey, USA.
Eli MordechaiGenesis Biotechnology Group, Hamilton, New Jersey, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A retrospective study of a single laboratory's results from patients in the United States to investigate high-risk human papillomavirus (HPV) genotype distribution according to cervical cytology and age was performed. Methods: Anonymous results of 23 580 patients' cervical specimens sent to Medical Diagnostic Laboratories, LLC, for cervical cytology and HPV testing between August 2020 and August 2021 were analyzed. Results: Overall, any of the 14 high-risk HPV genotypes identified were detected in 2302 of the 23 580 patients (9.8%), with HPV 52 (1.4%), HPV 39 (1.3%), HPV 51 (1.3%), and HPV 16 (1.2%) being the most frequent in all patients. Multiple high-risk HPV infection was observed in 1.3% of all patients. HPV 16 was most likely to be a single high-risk genotype detected as compared with detection with other high-risk HPV genotypes, in contrast to HPV 33, which is least likely to be a single high-risk genotype detected as compared with detection with other high-risk HPV genotypes. High-risk HPV detection was greatest in patients under 25 years old (<21-year-olds, 24.6%, and 21-25-year-olds, 25.4%). In patients with low-grade squamous intraepithelial lesions, the most frequently detected high-risk HPV genotypes were HPV 51 (10.5%) and HPV 39 (9.1%), and in patients with high-grade squamous intraepithelial lesions, the most frequently detected high-risk HPV genotypes were HPV 16 (25.6%) and HPV 52 (17.1%). Conclusions: HPV genotyping and cervical cytology data analysis may contribute to and inform cervical cancer screening and HPV vaccination programs.

Indexed as

cervical cancercervical cancer screeningcervical cytologyHPV genotypinghuman papillomavirus

Identifiers

PMID36438621
PMCPMC9685174
OpenAlexW4308484237

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.