Evidence map›Paper›PMID 22340639›Full record

Trial reportGender medicine2012

Epidemiologic differentiation of diagnostic and screening populations for the assessment of cervical dysplasia using optical technologies.

Bryan Pham, Helen Rhodes, Andrea Milbourne, Karen Adler-Storthz, Michele Follen, Michael E Scheurer

Open access · greenAbstract readClinical Trial, Phase IIMulticenter Study
In one paragraph

Trial report in Gender medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

6 authors at 3 institutions in 1 country.

Bryan PhamDepartment of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Helen Rhodes
Andrea Milbourne
Karen Adler-Storthz
Michele Follen
Michael E Scheurer
The University of Texas Health Science Center at Houston · USThe University of Texas MD Anderson Cancer Center · USBaylor College of Medicine · US

Funding

Technical FeasibilityP01CA082710 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GUILLAUD, MARTIAL · 1999 to 2014
$28.7M
NCI NIH HHS P01 CA082710NCI NIH HHS P01-CA82710
6 · The paper itself

Abstract

backgroundWe report here the logistic modeling of the epidemiologic differences between a diagnostic population and a screening population recruited for the study of optical technologies for cervical cancer detection.

objectivesThe goal of this analysis was to determine if there were differences in the sociodemographic or clinical factors between subjects recruited to our diagnostic and screening trials.

methodsEpidemiologic data were obtained from a risk factor interview as a component of a multicenter Phase II clinical trial that used fluorescence and reflectance point spectroscopy to diagnose cervical disease. Participants with recent or past abnormal findings on a Papanicolaou smear were grouped into the diagnostic (high-risk) population, whereas those with a history of normal findings on Papanicolaou smears and no cervical treatments were grouped into the screening (low-risk) population.

resultsOur model revealed that nonwhite race, higher than a high school education, and peri- and postmenopausal status were associated with the screening population. A history of genital infections, current oral contraceptive use, human papillomavirus positivity (by Hybrid Capture II and consensus polymerase chain reaction), and worst histological diagnosis at clinic visit were important predictors of being in the diagnostic group.

conclusionsWe were successful in recruiting 2 distinctive populations and anticipate being able to use these results to more correctly classify women at higher risk for cervical lesions in our future studies of optical spectroscopy.

Indexed as

AdolescentAdultAgedAged, 80 and overAlphapapillomavirusFemaleHumansLogistic ModelsMass ScreeningMiddle AgedPapanicolaou TestPapillomavirus InfectionsRisk AssessmentRisk FactorsSpectrometry, FluorescenceUterine Cervical Dysplasia

Identifiers

PMID22340639
PMCPMC3874883
OpenAlexW1977914472

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.