Evidence map›Paper›PMID 19167697›Full record

SynthesisAmerican journal of obstetrics and gynecology2009

Posttreatment human papillomavirus testing for recurrent cervical intraepithelial neoplasia: a systematic review.

Benjamin K S Chan, Joy Melnikow, Christina A Slee, Rose Arellanes, George F Sawaya

Abstract readSystematic Review
In one paragraph

Synthesis in American journal of obstetrics and gynecology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Cervical Cancer Screening.Obstetrics and gynecology · 2016
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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.

Benjamin K S ChanOregon Evidence-based Practice Center, Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, USA.
Joy Melnikow
Christina A Slee
Rose Arellanes
George F Sawaya

Funding

Surveillance Strategies Following Treatment for CINR01CA109142 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI MELNIKOW, JOY · 2005 to 2007
$778k
NCI NIH HHS 1R01CA109142NCI NIH HHS R01 CA109142
6 · The paper itself

Abstract

objectiveWe conducted a systematic review to evaluate the characteristics of human papillomavirus testing, particularly Hybrid Capture 2, in follow-up evaluations after treatment for cervical intraepithelial neoplasia for the detection of residual or recurrent cervical intraepithelial neoplasia grade >/= 2. STUDY

designMedline was searched for relevant studies that were published between 1992 and September 2007. Of the 1107 citations that were identified, 20 articles met the inclusion criteria.

resultsStudies that used polymerase chain reaction testing were too heterogeneous to combine. We identified 5 studies that performed both Hybrid Capture 2 and colposcopy. Pooled sensitivity for Hybrid Capture 2 was 90.7% (95% CI, 75.4-96.9%), and pooled specificity was 74.6% (95% CI, 60.4-85.0%). Pooled sensitivity for cervical cytologic testing was 76.6% (95% CI, 62.0-86.8%), and pooled specificity was 89.7% (95% CI, 22.7-99.6%).

conclusionHybrid Capture 2 testing can identify approximately 91% of women with residual or recurrent cervical intraepithelial neoplasia grade >/= 2; however, approximately 30% of women would undergo colposcopy in follow-up evaluation.

Indexed as

ColposcopyFemaleFollow-Up StudiesHumansNeoplasm Recurrence, LocalPapillomaviridaeUterine Cervical DysplasiaUterine Cervical NeoplasmsVirology

Identifiers

PMID19167697
PMCPMC2784953

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.