Evidence map›Paper›PMID 23455757›Full record

ArticleInternational journal of gynecological cancer : official journal of the International Gynecological Cancer Society2013

Six-year regression and progression of cervical lesions of different human papillomavirus viral loads in varied histological diagnoses.

Shao-Ming Wang, Danny Colombara, Ju-Fang Shi, Fang-Hui Zhao, Jing Li, Feng Chen, Wen Chen, Shu-Min Li, Xun Zhang, Qin-Jing Pan and 3 more

Abstract read
In one paragraph

Article in International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

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  11. Changes in DNA Level of Oncogenic Human Papillomaviruses Other Than Types 16 and 18 in Relation to Risk of Cervical Intraepithelial Neoplasia Grades 2 and 3.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
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  13. Role ofBMJ open · 2019
    Observational
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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

13 authors at 5 institutions in 3 countries.

Shao-Ming WangDepartment of Cancer Epidemiology, Cancer Institute/Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Seattle, WA, USA.
Danny Colombara
Ju-Fang Shi
Fang-Hui Zhao
Jing Li
Feng Chen
Wen Chen
Shu-Min Li
Xun Zhang
Qin-Jing Pan
Jerome L Belinson
Jennifer S Smith
You-Lin Qiao
Chinese Academy of Medical Sciences & Peking Union Medical College · CNCancer Institute (WIA) · INCleveland Research (United States) · USUniversity of North Carolina at Chapel Hill · USUniversity of Washington · US

Funding

Fogarty International Clinical Research Scholars Support Center @ Vanderbilt-AAMCR24TW007988 · FIC · VANDERBILT UNIVERSITY · PI VERMUND, STEN H. · 2007 to 2011
$27.6M
Cancer Prevention Trng-Nutrition, Exercise &GeneticsR25CA094880 · NCI · UNIVERSITY OF WASHINGTON · PI WHITE, EMILY · 2002 to 2016
$7.3M
FIC NIH HHS R24 TW007988NCI NIH HHS R25 CA094880NCI NIH HHS R25 CA94880
6 · The paper itself

Abstract

objectiveThis study aims to evaluate human papillomavirus (HPV) viral loads as a biomarker for triage into colposcopy and cervical intraepithelial neoplasia grade 2 (CIN2) therapy to reduce the colposcopy referral rate and CIN2 overtreatment in low-resource settings.

methodsIn 1999, 1997 women aged 35 to 45 years in Shanxi, China, received 6 cervical screenings with pathological confirmation. In 2005, 1461 histologically normal women, 99 with CIN grade 1 (CIN1), and 30 with CIN2 or worse (CIN2+) were rescreened in a follow-up study. Human papillomavirus was detected by Hybrid Capture 2. Viral load, estimated by the ratio of relative light units to standard positive control (RLU/PC), was categorized into 4 groups: negative (<1.0), low (≥1.0, <10.0), moderate (≥10.0, <100.0), and high (≥100.0). We estimated the cumulative incidence of CIN2+ by viral load subgroups and calculated adjusted hazard ratios for CIN2+ using Cox proportional hazards regression.

resultsCumulative incidence of CIN2+ increased with baseline HPV viral loads among normal women and women with CIN1 at baseline (P(-trend) < 0.001). Repeat moderate-high viral load was associated with the highest risk for CIN2+ (adjusted hazard ratio, 188.8; 95% confidence interval, 41.2-864.1). Raising the ratio of relative light units to standard positive control cutoff from 1.0 to 10.0 for colposcopy greatly reduced the referral rate from 18.1% to 12.9%. It also increased the specificity (84.8% vs 90.4%), the positive predictive value (22.5% vs 28.9%), and the positive likelihood ratio (6.4 vs 8.9), yet with loss of sensitivity by 12% (97.6% vs 85.7%). Among women with CIN2 at baseline, 56% regressed to normal, 24% regressed to CIN1, 4% remained CIN2, and 16% progressed to CIN grade 3 or worse.

conclusionsLocales using HPV testing as the primary screening method and lacking high-quality cytology-based screening should consider viral load as an alternative to colposcopy triage for women older than 35 years. Viral loads may also predict CIN2 progression until additional biomarkers become available.

Indexed as

PapillomaviridaeViral LoadAdultBiomarkersCervix UteriDisease ProgressionFemaleHumansMass ScreeningMiddle AgedRemission, SpontaneousSocioeconomic FactorsTriageUterine Cervical DysplasiaUterine Cervical NeoplasmsBiomarkers

Identifiers

PMID23455757
PMCPMC3636161
OpenAlexW2412326455

What OpenQuestion holds

Textmetadata
LicenceTDM
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.