Evidence map›Paper›PMID 30179570›Full record

Observational studyJournal of clinical oncology : official journal of the American Society of Clinical Oncology2018

Limitations in the Effect of Screening on Breast Cancer Mortality.

Anna-Belle Beau, Per Kragh Andersen, Ilse Vejborg, Elsebeth Lynge

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A framework for personalized mammogram screening.Preventive medicine reports · 2021
    Article
  9. Article
  10. Article
  11. Response to Zahl.Journal of the National Cancer Institute · 2020
    Article
  12. Article
  13. Review
  14. Review
  15. 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

4 authors at 3 institutions in 1 country.

Anna-Belle BeauAnna-Belle Beau, Per Kragh Andersen, and Elsebeth Lynge, University of Copenhagen; Ilse Vejborg, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Per Kragh AndersenAnna-Belle Beau, Per Kragh Andersen, and Elsebeth Lynge, University of Copenhagen; Ilse Vejborg, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Ilse VejborgAnna-Belle Beau, Per Kragh Andersen, and Elsebeth Lynge, University of Copenhagen; Ilse Vejborg, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Elsebeth LyngeAnna-Belle Beau, Per Kragh Andersen, and Elsebeth Lynge, University of Copenhagen; Ilse Vejborg, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Rigshospitalet · DKCopenhagen University Hospital · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRandomized, controlled trials showed that screening reduces breast cancer mortality rates, but some recent observational studies have concluded that programmatic screening has had minor effect on breast cancer mortality rates. This apparent contradiction might be explained by the use of aggregated data in observational studies. We assessed the long-term effect of screening using individual-level data. MATERIALS AND

methodsUsing data from mammography screening in the Copenhagen and Danish national registers, we compared the observed breast cancer mortality rate in women invited to screening with the expected rate in absence of screening. The effect was examined using the "naïve model," which included all breast cancer deaths; the "follow-up model," which counted only breast cancer deaths in women diagnosed after their first invitation to screening; and the "evaluation model," which is similar to the follow-up model during screening age, but after screening age, which counted only breast cancer deaths and person-years in women diagnosed during screening age.

resultsWe included 18,781,292 person-years, 976,743 of which were from women invited to screening. The naïve and follow-up models showed, respectively, 10% and 11% reduction in breast cancer mortality after invitation to screening. However, many breast cancer deaths occurred in women whose cancer was diagnosed when they were no longer eligible for screening. Accounting for this dilution, the evaluation model showed a 20% (95% CI, 10% to 29%) reduction in breast cancer mortality after invitation to screening.

conclusionScreening had a clear long-term beneficial effect with a 20% reduction in breast cancer-associated mortality in the invited population. However, this effect was, by nature, restricted to breast cancer deaths in women who could potentially benefit from screening. Our study highlights the complexity in evaluating the long-term effect of breast cancer screening from observational data.

Indexed as

AgedBreast NeoplasmsEarly Detection of CancerFemaleHumansMammographyMass ScreeningMiddle Aged

Identifiers

PMID30179570
PMCPMC6324089
OpenAlexW2892300334

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.