Evidence map›Paper›PMID 36353307›Full record

ArticleClinical epidemiology2022

Effectiveness of Mammography Screening on Breast Cancer Mortality - A Study Protocol for Emulation of Target Trials Using German Health Claims Data.

Malte Braitmaier, Bianca Kollhorst, Miriam Heinig, Ingo Langner, Jonas Czwikla, Franziska Heinze, Laura Buschmann, Heike Minnerup, Xabiér García-Albéniz, Hans-Werner Hense and 4 more

Abstract read
In one paragraph

Article in Clinical epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Clinical trial emulation in nephrology.Journal of nephrology · 2025
    Review
  2. Review
  3. Review
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

14 authors.

Malte BraitmaierDepartment of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0001-7534-4068
Bianca KollhorstDepartment of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0001-5964-954X
Miriam HeinigDepartment of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Ingo LangnerDepartment of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0001-8998-1236
Jonas CzwiklaSOCIUM Research Center on Inequality and Social Policy, University of Bremen, Bremen, Germany.
Franziska HeinzeSOCIUM Research Center on Inequality and Social Policy, University of Bremen, Bremen, Germany.
Laura BuschmannInstitute for Epidemiology and Social Medicine, Faculty of Medicine, Westfälische Wilhelms University of Münster, Münster, Germany.
Heike MinnerupInstitute for Epidemiology and Social Medicine, Faculty of Medicine, Westfälische Wilhelms University of Münster, Münster, Germany.
Xabiér García-AlbénizDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Hans-Werner HenseInstitute for Epidemiology and Social Medicine, Faculty of Medicine, Westfälische Wilhelms University of Münster, Münster, Germany.ORCID 0000-0002-7381-1547
André KarchInstitute for Epidemiology and Social Medicine, Faculty of Medicine, Westfälische Wilhelms University of Münster, Münster, Germany.
Hajo ZeebDepartment of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0001-7509-242X
Ulrike HaugDepartment of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Vanessa DidelezDepartment of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.ORCID 0000-0001-8587-7706

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The efficacy of mammography screening in reducing breast cancer mortality has been demonstrated in randomized trials. However, treatment options - and hence prognosis - for advanced tumor stages as well as mammography techniques have considerably improved since completion of these trials. Consequently, the effectiveness of mammography screening under current conditions is unclear and controversial. The German mammography screening program (MSP), an organized population-based screening program, was gradually introduced between 2005 and 2008 and achieved nation-wide coverage in 2009. Objective: We describe in detail a study protocol for investigating the effectiveness of the German MSP in reducing breast cancer mortality in women aged 50 to 69 years based on health claims data. Specifically, the proposed study aims at estimating per-protocol effects of several screening strategies on cumulative breast cancer mortality. The first analysis will be conducted once 10-year follow-up data are available. Methods and Analysis: We will use claims data from five statutory health insurance providers in Germany, covering approximately 37.6 million individuals. To estimate the effectiveness of the MSP, hypothetical target trials will be emulated across time, an approach that has been demonstrated to minimize design-related biases. Specifically, the primary contrast will be in terms of the cumulative breast cancer mortality comparing the screening strategies of "never screen" versus "regular screening as intended by the MSP". Ethics and Dissemination: In Germany, the utilization of data from health insurances for scientific research is regulated by the Code of Social Law. All involved health insurance providers as well as the responsible authorities approved the use of the health claims data for this study. The Ethics Committee of the University of Bremen determined that studies based on claims data are exempt from institutional review. The findings of the proposed study will be published in peer-reviewed journals.

Indexed as

cancer screeningclaims dataeffectivenessemulated target trialmammography

Identifiers

PMID36353307
PMCPMC9639456

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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.