Evidence map›Paper›PMID 19259088›Full record

ArticleBritish journal of cancer2009

Inter-observer variability in mammography screening and effect of type and number of readers on screening outcome.

L E M Duijm, M W J Louwman, J H Groenewoud, L V van de Poll-Franse, J Fracheboud, J W Coebergh

Abstract read
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Article in British journal of cancer, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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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

29 citing papers in PubMed.

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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

6 authors.

L E M DuijmDepartment of Radiology, Catharina Hospital, PO Box 1350, Eindhoven 5602 ZA, The Netherlands. LEMDuijm@hotmail.com
M W J Louwman
J H Groenewoud
L V van de Poll-Franse
J Fracheboud
J W Coebergh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We prospectively determined the variability in radiologists' interpretation of screening mammograms and assessed the influence of type and number of readers on screening outcome. Twenty-one screening mammography radiographers and eight screening radiologists participated. A total of 106,093 screening mammograms were double-read by two radiographers and, in turn, by two radiologists. Initially, radiologists were blinded to the referral opinion of the radiographers. A woman was referred if she was considered positive at radiologist double-reading with consensus interpretation or referred after radiologist review of positive cases at radiographer double-reading. During 2-year follow-up, clinical data, breast imaging reports, biopsy results and breast surgery reports were collected of all women with a positive screening result from any reader. Single radiologist reading (I) resulted in a mean cancer detection rate of 4.64 per 1000 screens (95% confidence intervals (CI)=4.23-5.05) with individual variations from 3.44 (95% CI=2.30-4.58) to 5.04 (95% CI=3.81-6.27), and a sensitivity of 63.9% (95% CI=60.5-67.3), ranging from 51.5% (95% CI=39.6-63.3) to 75.0% (95% CI=65.3-84.7). Sensitivity at non-blinded, radiologist double-reading (II), radiologist double-reading followed by radiologist review of positive cases at radiographer double-reading (III), triple reading by one radiologist and two radiographers with referral of all positive readings (IV) and quadruple reading by two radiologists and two radiographers with referral of all positive readings (V) were as follows: 68.6% (95% CI=65.3-71.9) (II); 73.2% (95% CI=70.1-76.4) (III); 75.2% (95% CI=72.1-78.2) (IV), and 76.9% (95% CI=73.9-79.9) (V). We conclude that screener performance significantly varied at single-reading. Double-reading increased sensitivity by a relative 7.3%. When there is a shortage of screening radiologists, triple reading by one radiologist and two radiographers may replace radiologist double-reading.

Indexed as

RadiologyAgedFemaleHumansMammographyMass ScreeningMiddle AgedObserver VariationProspective StudiesReferral and Consultation

Identifiers

PMID19259088
PMCPMC2661777

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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.