Evidence map›Paper›PMID 20977339›Full record

Trial reportThe Journal of infectious diseases2010

Human papillomavirus type 16 variants in paired enrollment and follow-up cervical samples: implications for a proper understanding of type-specific persistent infections.

Long Fu Xi, Laura A Koutsky, Philip E Castle, Zoe R Edelstein, Ayaka Hulbert, Mark Schiffman, Nancy B Kiviat

Open access · bronzeAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The Journal of infectious diseases, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Papillomaviruses: Viral evolution, cancer and evolutionary medicine.Evolution, medicine, and public health · 2015
    Review
  6. Review
  7. Review
  8. 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

7 authors at 2 institutions in 1 country.

Long Fu XiDepartment of Pathology, School of Medicine, University of Washington, Seattle 98104, USA. longfu@u.washington.edu
Laura A Koutsky
Philip E Castle
Zoe R Edelstein
Ayaka Hulbert
Mark Schiffman
Nancy B Kiviat
University of Washington · USDivision of Cancer Epidemiology and Genetics

Funding

Intratypic variation of oncogenic HPV types as a risk factor for cervical neoplasR01CA133569 · NCI · UNIVERSITY OF WASHINGTON · PI XI, LONG FU · 2009 to 2012
$1.7M
NCI NIH HHS CA133569NCI NIH HHS R01 CA133569
6 · The paper itself

Abstract

Prospective studies of the persistence of human papillomavirus (HPV) variants are rare and typically small. We sequenced HPV-16 variants in longitudinal pairs of specimens from 86 women enrolled in the ASCUS-LSIL Triage Study. A change of variants was identified in 4 women (4.7% [95% confidence interval, 1.3%-11.5%]). Among women with intervening HPV results (n = 60), a variant switch occurred in 2 of 11 who had evidence of intervening negativity for HPV-16, compared with 1 of 49 who consistently tested positive (P = .11). These results suggest the possibility that rare misclassification of transient infections as persistent infections occurs in natural history studies of type-specific HPV infections.

Indexed as

AdultCase-Control StudiesCervix UteriFemaleHuman papillomavirus 16HumansNeoplasm StagingPapillomavirus InfectionsPolymerase Chain ReactionProspective StudiesSequence AnalysisUterine Cervical DysplasiaUterine Cervical NeoplasmsVaginal SmearsYoung Adult

Identifiers

PMID20977339
PMCPMC3107552
OpenAlexW2029697783

What OpenQuestion holds

Textmetadata
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.