Evidence map›Paper›PMID 35131686›Full record

ArticleCancer epidemiology2022

Socioeconomic status and its relation with breast cancer recurrence and survival in young women in the Netherlands.

Marissa C van Maaren, Bernard Rachet, Gabe S Sonke, Audrey Mauguen, Virginie Rondeau, Sabine Siesling, Aurélien Belot

Abstract read
In one paragraph

Article in Cancer epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  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

7 authors.

Marissa C van MaarenDepartment of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands; Department of Health Technology and Services Research, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, The Netherlands. Electronic address: m.vanmaaren@iknl.nl.
Bernard RachetInequalities in Cancer Outcomes Network (ICON), Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom. Electronic address: Bernard.Rachet@lshtm.ac.uk.
Gabe S SonkeDepartment of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands. Electronic address: g.sonke@nki.nl.
Audrey MauguenDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, United States. Electronic address: mauguena@mskcc.org.
Virginie RondeauINSERM U1219, Biostatistics team, University of Bordeaux, Bordeaux, France. Electronic address: Virginie.Rondeau@inserm.fr.
Sabine SieslingDepartment of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands; Department of Health Technology and Services Research, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, The Netherlands. Electronic address: s.siesling@iknl.nl.
Aurélien BelotInequalities in Cancer Outcomes Network (ICON), Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom. Electronic address: aurelien.belot@lshtm.ac.uk.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Cancer Research UK 18525Cancer Research UK 29018NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundAssociations between socioeconomic status (SES) and breast cancer survival are most pronounced in young patients. We further investigated the relation between SES, subsequent recurrent events and mortality in breast cancer patients < 40 years. Using detailed data on all recurrences that occur between date of diagnosis of the primary tumor and last observation, we provide a unique insight in the prognosis of young breast cancer patients according to SES.

methodsAll women < 40 years diagnosed with primary operated stage I-III breast cancer in 2005 were selected from the nationwide population-based Netherlands Cancer Registry. Data on all recurrences within 10 years from primary tumor diagnosis were collected directly from patient files. Recurrence patterns and absolute risks of recurrence, contralateral breast cancer (CBC) and mortality - accounting for competing risks - were analysed according to SES. Relationships between SES, recurrence patterns and excess mortality were estimated using a multivariable joint model, wherein the association between recurrent events and excess mortality (expected mortality derived from the general population) was included.

resultsWe included 525 patients. The 10-year recurrence risk was lowest in high SES (18.1%), highest in low SES (29.8%). Death and CBC as first events were rare. In high, medium and low SES 13.2%, 15.3% and 19.1% died following a recurrence. Low SES patients had shorter median time intervals between diagnosis, first recurrence and 10-year mortality (2.6 and 2.7 years, respectively) compared to high SES (3.5 and 3.3 years, respectively). In multivariable joint modeling, high SES was significantly related to lower recurrence rates over 10-year follow-up, compared to low SES. A strong association between the recurrent event process and excess mortality was found.

conclusionsHigh SES is associated with lower recurrence risks, less subsequent events and better prognosis after recurrence over 10 years than low SES. Breast cancer risk factors, adjuvant treatment adherence and treatment of recurrence may possibly play a role in this association.

Indexed as

Breast NeoplasmsFemaleHumansNeoplasm Recurrence, LocalNeoplasm StagingNetherlandsSocial ClassSocioeconomic FactorsJoint modellingMortalityRecurrenceSocioeconomic statusYoung breast cancer patients

Identifiers

PMID35131686
PMCPMC9422085

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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.