Evidence map›Paper›PMID 32053293›Full record

ArticleCancer medicine2020

Impact of delayed treatment in women diagnosed with breast cancer: A population-based study.

Peh Joo Ho, Alex R Cook, Nur Khaliesah Binte Mohamed Ri, Jenny Liu, Jingmei Li, Mikael Hartman

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
4.0field-weighted citation impact, top 4% 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

68 citing papers in PubMed, 100 citations in OpenAlex.

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  17. Exploring the gastric cancer care pathway in South Africa.African journal of primary health care & family medicine · 2025
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8 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Peh Joo HoGenome Institute of Singapore, Singapore, Singapore.ORCID 0000-0002-3017-4023
Alex R CookSaw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore, Singapore.
Nur Khaliesah Binte Mohamed RiSaw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore, Singapore.
Jenny LiuSaw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore, Singapore.
Jingmei LiGenome Institute of Singapore, Singapore, Singapore.
Mikael HartmanSaw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore, Singapore.
National University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of timely treatment on breast cancer-specific survival may differ by tumor stage. We aim to study the impact of delayed first treatment on overall survival across different tumor stages. In addition, we studied the impact of delayed adjuvant treatments on survival in patients with invasive nonmetastatic breast cancer who had surgery ≤90 days postdiagnosis. This population-based study includes 11 175 breast cancer patients, of whom, 2318 (20.7%) died (median overall survival = 7.9 years). To study the impact of delayed treatment on survival, hazard ratios and corresponding 95% confidence intervals were estimated using Cox proportional-hazards models. The highest proportion of delayed first treatment (>30 days postdiagnosis) was in patients with noninvasive breast cancer (61%), followed by metastatic breast cancer (50%) and invasive nonmetastatic breast cancer (22%). Delayed first treatment (>90 vs ≤30 days postdiagnosis) was associated with worse overall survival in patients with invasive nonmetastatic (HR: 2.25, 95% CI 1.55-3.28) and metastatic (HR: 2.09, 95% CI 1.66-2.64) breast cancer. Delayed adjuvant treatment (>90 vs 31-60 days postsurgery) was associated with worse survival in patients with invasive nonmetastatic (HR: 1.50, 95% CI 1.29-1.74). Results for the Cox proportional-hazards models were similar for breast cancer-specific death. A longer time to first treatment (31-90 days postdiagnosis) may be viable for more extensive diagnostic workup and patient-doctor decision-making process, without compromising survival. However, patients' preference and anxiety status need to be considered.

Indexed as

AgedAged, 80 and overBreast NeoplasmsCombined Modality TherapyFemaleFollow-Up StudiesHumansMiddle AgedPrognosisSingaporeSurvival RateTime-to-Treatmentbreast cancerpopulationproportional-hazards modelsSingaporesurvival

Identifiers

PMID32053293
PMCPMC7131859
OpenAlexW3005548074

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.