Evidence map›Paper›PMID 33997729›Full record

ArticleEClinicalMedicine2021

Interval breast cancer rates for digital breast tomosynthesis versus digital mammography population screening: An

Nehmat Houssami, Solveig Hofvind, Anne L Soerensen, Kristy P Robledo, Kylie Hunter, Daniela Bernardi, Kristina Lång, Kristin Johnson, Camilla F Aglen, Sophia Zackrisson

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 4 institutions in 4 countries.

Nehmat HoussamiSydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Solveig HofvindSection of Breast Screening, Cancer Registry of Norway, Oslo, Norway.
Anne L SoerensenNHMRC Clinical Trials Centre, University of Sydney, Sydney, Australia.
Kristy P RobledoNHMRC Clinical Trials Centre, University of Sydney, Sydney, Australia.
Kylie HunterNHMRC Clinical Trials Centre, University of Sydney, Sydney, Australia.
Daniela BernardiBreast Imaging and Screening Unit, Department of Radiology, Humanitas Research Hospital, Milan, Italy.
Kristina LångDepartment of Translational Medicine, Diagnostic Radiology, Lund University, Skane University Hospital, Malmö, Sweden.
Kristin JohnsonDepartment of Translational Medicine, Diagnostic Radiology, Lund University, Skane University Hospital, Malmö, Sweden.
Camilla F AglenSection of Breast Screening, Cancer Registry of Norway, Oslo, Norway.
Sophia ZackrissonDepartment of Translational Medicine, Diagnostic Radiology, Lund University, Skane University Hospital, Malmö, Sweden.
The University of Sydney · AULund University · SECancer Registry of Norway · NOIRCCS Humanitas Research Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital breast tomosynthesis (DBT) improves breast cancer (BC) detection compared to mammography, however, it is unknown whether this reduces

methodsUsing

findingsFour prospective DBT studies, from European population-based programs, contributed IPD for 66,451 DBT-screened participants: age-adjusted pooled ICR was 13.17/10,000 (95%CI: 8.25-21.02). Pooled ICR was higher in the high-density (21.08/10,000; 95%CI: 6.71-66.27) than the low-density (8.63/10,000; 95%CI: 5.25-14.192) groups (

interpretationAlthough heterogeneity in ICR estimates and few datasets limit recommendations, there was no difference between DBT and mammography in pooled ICR despite DBT increasing cancer detection.

Indexed as

Breast cancerCancer screeningDigital breast tomosynthesisInterval cancerMammographyMeta-analysis

Identifiers

PMID33997729
PMCPMC8102709
OpenAlexW3137437064

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.