Evidence map›Paper›PMID 40347058›Full record

ArticleCancer medicine2025

Association Between Pre-Diagnostic Delay and Survival Among Patients With Esophageal and Gastric Cancer Treated With Curative Intent During the COVID19 Pandemic.

Xin Wang, Yvonne Bach, Katherine Lajkosz, Osvaldo Espin-Garcia, Hiroko Aoyama, Michael Wang, Ronan McLaughlin, Lucy Ma, Carly Barron, Farooq Abdul Rehman and 11 more

Abstract read
In one paragraph

Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

21 authors.

Xin WangDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0001-6292-3087
Yvonne BachDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0003-4722-5314
Katherine LajkoszDepartment of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Osvaldo Espin-GarciaEpidemiology and Biostatistics, Schulich School of Medicine and Dentistry, London, Ontario, Canada.
Hiroko AoyamaDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Michael WangDepartment of Bio-Medical Science, Guelph University, Guelph, Ontario, Canada.
Ronan McLaughlinDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Lucy MaDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0003-1407-0715
Carly BarronDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Farooq Abdul RehmanDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0001-5433-6245
Eric Xueyu ChenDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Johnathan Chi-Wai YeungDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Carol J SwallowDepartment of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Savtaj BrarDepartment of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Rebecca WongDivision of Radiation Oncology, Princess Margaret Hospital, University Health Network, Toronto, Ontario, Canada.
Aruz MesciDivision of Radiation Oncology, Princess Margaret Hospital, University Health Network, Toronto, Ontario, Canada.
John KimDivision of Radiation Oncology, Princess Margaret Hospital, University Health Network, Toronto, Ontario, Canada.
Patrick Veit-HaibachJoint Department of Medical Imaging, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Sangeetha KalimuthuDivision of Pathology, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Raymond Woo-Jun JangDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Elena ElimovaDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe majority of esophageal and gastric cancers are diagnosed at an advanced stage with poor overall survival (OS). Whether the pre-diagnostic interval from symptom onset has any impact on OS is unclear. We investigated this question in the peri-COVID19 pandemic era.

methodsWe retrospectively analyzed a cohort of 308 patients with esophageal, gastroesophageal junction, or gastric carcinoma treated with curative intent at the Princess Margaret Cancer Centre from January 2017 to December 2021. Clinical details pertaining to the initial presentation were determined through a retrospective chart review. Cox proportional hazards regression models were used to assess the association between pre-diagnostic intervals and OS, adjusting for baseline patient characteristics.

resultsThe median interval from symptom onset to diagnosis was 98 days (IQR 47-169 days). Using a cox proportional hazard model, prolonged pre-diagnostic interval was not associated with worse OS (HR 1.00, p = 0.62). Comparing patients diagnosed before and during the COVID19 pandemic, there was a notable increase in diagnostic delay with median pre-diagnostic interval increasing from 92 to 126 days (p = 0.007). Median age at time of diagnosis was 69.6 during the pandemic vs. 64.7 before the pandemic. Linear regression showed squamous cell histology was significantly associated with increasing time to initial diagnosis (p = 0.04), but this did not hold true in a multivariable model. Looking at other delay metrics, there were no changes in time interval from diagnosis to treatment during versus before the pandemic (median = 1.7 weeks for both), and there was no change in time from diagnosis to resection in those patients who underwent surgery.

conclusionThe COVID19 pandemic caused significant diagnostic delay for patients presenting with curative gastroesophageal and gastric cancer. The lack of correlation of pre-diagnostic interval with OS may reflect underlying tumor biology as the driving force that determines prognosis.

Indexed as

COVID-19Delayed DiagnosisEsophageal NeoplasmsStomach NeoplasmsAgedFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesSARS-CoV-2COVID19diagnosisgastric cancergastroesophageal cancer

Identifiers

PMID40347058
PMCPMC12062865

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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.