Evidence map›Paper›PMID 40490647›Full record

SynthesisGeroScience2026

Quantifying the impact of treatment delays on breast cancer survival outcomes: a comprehensive meta-analysis.

Zoltan Ungvari, Mónika Fekete, Annamaria Buda, Andrea Lehoczki, Gyöngyi Munkácsy, Paola Scaffidi, Tiziana Bonaldi, János Tibor Fekete, Giampaolo Bianchini, Péter Varga and 2 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Association between time to treatment and financial toxicity among women with breast cancer in Ethiopia: a multicentre study in a low-resource setting.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  7. Overall Survival in Breast Cancer Patients: Analysis of a 27-Year Historical Cohort.Asian Pacific journal of cancer prevention : APJCP · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

12 authors.

Zoltan Ungvari *Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Mónika Fekete *Institute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary.
Annamaria Buda *Institute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary.
Andrea Lehoczki *Institute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary.
Gyöngyi MunkácsyDept. of Bioinformatics, Semmelweis University, 1094, Budapest, Hungary.
Paola ScaffidiDepartment of Experimental Oncology, European Institute of Oncology (IEO) IRCCS, Milan, Italy.
Tiziana BonaldiDepartment of Experimental Oncology, European Institute of Oncology (IEO) IRCCS, Milan, Italy.
János Tibor FeketeDept. of Bioinformatics, Semmelweis University, 1094, Budapest, Hungary.
Giampaolo BianchiniDepartment of Medical Oncology, IRCCS Ospedale San Raffaele, Milan, Italy.
Péter VargaInstitute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary.
Anna UngvariInstitute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary. ungann2004@gmail.com.ORCID 0009-0001-5053-2828
Balázs GyőrffyDept. of Bioinformatics, Semmelweis University, 1094, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment delay in breast cancer care represents a significant concern in oncology, potentially impacting patient survival outcomes. While various factors can contribute to delayed treatment initiation, the quantitative relationship between specific delay intervals and survival remains incompletely understood in breast cancer management. Our study aims to explore the impact of treatment delays on survival outcomes in breast cancer. A comprehensive literature search was conducted in PubMed, Scopus, and Web of Science databases, covering publications from 2000 to 2025. From an initial 6222 records, 18 eligible studies comprising 25 cohorts were included. Hazard ratios (HRs) for all-cause and breast cancer-specific mortality were extracted or calculated for treatment delays of 4, 8, and 12 weeks. Random-effects meta-analyses were performed, and heterogeneity and publication bias were assessed using I

Indexed as

Breast NeoplasmsTime-to-TreatmentFemaleHumansTreatment DelayAll-cause mortalityBreast cancer–specific mortalityCancer prognosisHazard ratioMortality riskSurvival outcomesTreatment delay

Identifiers

PMID40490647
PMCPMC12972275

What OpenQuestion holds

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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.