Evidence map›Paper›PMID 30866499›Full record

ArticleCancers2019

Impact of Overdiagnosis on Long-Term Breast Cancer Survival.

Jean Ching-Yuan Fann, King-Jen Chang, Chen-Yang Hsu, Amy Ming-Fang Yen, Cheng-Ping Yu, Sam Li-Sheng Chen, Wen-Hung Kuo, László Tabár, Hsiu-Hsi Chen

Abstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Review
  3. Quality of Informed Consent in Mammography Screening-The Polish Experience.International journal of environmental research and public health · 2022
    Article
  4. Article
  5. Article
  6. 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

9 authors.

Jean Ching-Yuan FannDepartment of Health Industry Management, College of Healthcare Management, Kainan University, Taoyuan 338, Taiwan. jeanfann@ntu.edu.tw.
King-Jen ChangDepartment of Surgery, National Taiwan University Hospital, Taipei 100, Taiwan. kingjen@ntu.edu.tw.
Chen-Yang HsuGraduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 100, Taiwan. bacilli65@gmail.com.
Amy Ming-Fang YenSchool of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei 110, Taiwan. amyyen@tmu.edu.tw.
Cheng-Ping YuDepartment of Pathology and Graduate Institute of Pathology and Parasitology, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan. cpyupath@yahoo.com.tw.
Sam Li-Sheng ChenSchool of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei 110, Taiwan. samchen@tmu.edu.tw.
Wen-Hung KuoDepartment of Surgery, National Taiwan University Hospital, Taipei 100, Taiwan. brcancer@gmail.com.
László TabárDepartment of Mammography, Falun Central Hospital, 791823 Falun, Sweden. laszlo@mammographyed.com.
Hsiu-Hsi ChenGraduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 100, Taiwan. chenlin@ntu.edu.tw.

Funding

Ministry of Education NTU-107L9003Ministry of Science and Technology, Taiwan MOST 106-2118-M-002-006-MY2Ministry of Science and Technology, Taiwan MOST 106-2118-M-038-002-MY2Ministry of Science and Technology, Taiwan MOST 106-2811-M-002-075Ministry of Science and Technology, Taiwan MOST 107-3017-F-002-003
6 · The paper itself

Abstract

Elucidating whether and how long-term survival of breast cancer is mainly due to cure after early detection and effective treatment and therapy or overdiagnosis resulting from the widespread use of mammography provides a new insight into the role mammography plays in screening, surveillance, and treatment of breast cancer. Given information on detection modes, the impact of overdiagnosis due to mammography screening on long-term breast cancer survival was quantitatively assessed by applying a zero (cured or overdiagnosis)-inflated model design and analysis to a 15-year follow-up breast cancer cohort in Dalarna, Sweden. The probability for non-progressive breast cancer (the zero part) was 56.14% including the 44.34% complete cure after early detection and initial treatment and a small 11.80% overdiagnosis resulting from mammography screening program (8.94%) and high awareness (2.86%). The 15-year adjusted cumulative survival of breast cancer was dropped from 88.25% to 74.80% after correcting for the zero-inflated part of overdiagnosis. The present findings reveal that the majority of survivors among women diagnosed with breast cancer could be attributed to the cure resulting from mammography screening and accompanying effective treatment and therapy and only a small fraction of those were due to overdiagnosis.

Indexed as

invasive breast cancermammography screeningoverdiagnosiszero-inflated Poisson regression model

Identifiers

PMID30866499
PMCPMC6468420

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.