Evidence map›Paper›PMID 22915414›Full record

ArticleAJR. American journal of roentgenology2012

Mammographic interpretation: radiologists' ability to accurately estimate their performance and compare it with that of their peers.

Andrea J Cook, Joann G Elmore, Weiwei Zhu, Sara L Jackson, Patricia A Carney, Chris Flowers, Tracy Onega, Berta Geller, Robert D Rosenberg, Diana L Miglioretti

Abstract readComparative Study
In one paragraph

Article in AJR. American journal of roentgenology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Andrea J CookBiostatistics Unit, Group Health Research Institute, Seattle, WA 98101, USA. cook.aj@ghc.org
Joann G Elmore
Weiwei Zhu
Sara L Jackson
Patricia A Carney
Chris Flowers
Tracy Onega
Berta Geller
Robert D Rosenberg
Diana L Miglioretti

Funding

Statistical Coordinating Center for the Breast Cancer Surveillance ConsortiumU01CA086076 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI MIGLIORETTI, DIANA L · 2000 to 2011
$8.5M
IMPROVING THE QUALITY OF MAMMOGRAPHIC INTERPRETATIONU01CA063731 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI BUIST, DIANA SM · 1994 to 2011
$6.7M
VERMONT BREAST CANCER SURVEILLANCE SYSTEMU01CA070013 · NCI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI GELLER, BERTA M · 1995 to 2011
$6.7M
UTILITY AND OUTCOMES FROM MAMMOGRAPHY IN NORTH CAROLINAU01CA070040 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YANKASKAS, BONNIE C · 1995 to 2011
$6.4M
San Francisco Mammography Registry-A Research SourceU01CA063740 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KERLIKOWSKE, KARLA M · 1994 to 2011
$6.2M
STRATEGIC STUDIES IN BREAST CANCER SURVEILLANCEU01CA086082 · NCI · DARTMOUTH COLLEGE · PI ONEGA, TRACY · 2000 to 2011
$4.9M
Understanding Variability in Community MammographyR01CA107623 · NCI · UNIVERSITY OF WASHINGTON · PI ELMORE, JOANN G · 2004 to 2008
$3.7M
REFERRAL PATTERNS AND COST ANALYSIS OF SCREENING MAMMOGRAPHY--FOLLOW-UP/BIOPSYU01CA063736 · NCI · COOPER INSTITUTE · PI CUTTER, GARY · 1994 to 2004
$2.7M
NEW MEXICO MAMMOGRAPHY PROJECTU01CA069976 · NCI · UNIVERSITY OF NEW MEXICO · PI ROSENBERG, ROBERT D · 1995 to 2005
$2.7M
Improving Accuracy &Outcomes of Breast Cancer ScreeningK05CA104699 · NCI · UNIVERSITY OF WASHINGTON · PI ELMORE, JOANN G · 2004 to 2014
$1.2M
NCI NIH HHS K05 CA104699NCI NIH HHS R01 CA107623NCI NIH HHS U01 CA063731NCI NIH HHS U01 CA063736NCI NIH HHS U01 CA063740NCI NIH HHS U01 CA069976NCI NIH HHS U01 CA070013NCI NIH HHS U01 CA070040NCI NIH HHS U01 CA086076NCI NIH HHS U01 CA086082NCI NIH HHS U01CA63731NCI NIH HHS U01CA63736NCI NIH HHS U01CA63740NCI NIH HHS U01CA69976NCI NIH HHS U01CA70013NCI NIH HHS U01CA70040NCI NIH HHS U01CA86076NCI NIH HHS U01CA86082
6 · The paper itself

Abstract

objectiveThe purposes of this study were to determine whether U.S. radiologists accurately estimate their own interpretive performance of screening mammography and to assess how they compare their performance with that of their peers. SUBJECTS AND

methodsBetween 2005 and 2006, 174 radiologists from six Breast Cancer Surveillance Consortium registries completed a mailed survey. The radiologists' estimated and actual recall, false-positive, and cancer detection rates and positive predictive value of biopsy recommendation (PPV(2)) for screening mammography were compared. Radiologists' ratings of their performance as lower than, similar to, or higher than that of their peers were compared with their actual performance. Associations with radiologist characteristics were estimated with weighted generalized linear models.

resultsAlthough most radiologists accurately estimated their cancer detection and recall rates (74% and 78% of radiologists), fewer accurately estimated their false-positive rate (19%) and PPV(2) (26%). Radiologists reported having recall rates similar to (43%) or lower than (31%) and false-positive rates similar to (52%) or lower than (33%) those of their peers and similar (72%) or higher (23%) cancer detection rates and similar (72%) or higher (38%) PPV(2). Estimation accuracy did not differ by radiologist characteristics except that radiologists who interpreted 1000 or fewer mammograms annually were less accurate at estimating their recall rates.

conclusionRadiologists perceive their performance to be better than it actually is and at least as good as that of their peers. Radiologists have particular difficulty estimating their false-positive rates and PPV(2).

Indexed as

Clinical CompetenceMammographySelf-AssessmentBreast NeoplasmsData CollectionFalse Positive ReactionsFemaleHumans

Identifiers

PMID22915414
PMCPMC3691059

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.