Evidence map›Paper›PMID 33148535›Full record

SynthesisBMJ (Clinical research ed.)2020

Mortality due to cancer treatment delay: systematic review and meta-analysis.

Timothy P Hanna, Will D King, Stephane Thibodeau, Matthew Jalink, Gregory A Paulin, Elizabeth Harvey-Jones, Dylan E O'Sullivan, Christopher M Booth, Richard Sullivan, Ajay Aggarwal

3 registry-linked trialsOpen access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 818 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
818citing papers in PubMed, 5 pooled it
103.0field-weighted citation impact, top 1% 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.

NCT06923449 recruitingnot on this mapstarted 2024, after this paper: background citation

Gastric Cancer' Textbook Oncological Outcome and Tumor Board Performance - The Experience of a High-volume Italian University Hospital

TypeobservationalSponsorFondazione Policlinico Universitario Agostino Gemelli IRCCSRan2024 to 2025Enrolled250ConditionsStomach NeoplasmArmsMultidisciplinary Tumor Board
NCT06945484 narecruitingnot on this mapstarted 2025, after this paper: background citation

PILOT for The Precision Exercise Regimen for Cancer Care (PERCC) Study

TypeinterventionalSponsorUniversity of UtahRan2025 to 2030Enrolled20ConditionsNSCLC Stage II, NSCLC, Stage IIIArmsPrecision Exercise Regimen for Cancer Care (PERCC)
NCT07671664 nanot yet recruitingnot on this mapstarted 2027, after this paper: background citation

Triage Radiology Imaging Assessment for Greater Effectiveness (TRIAGE): a Cluster-Randomised Crossover Trial Evaluating the Reporting Turn-Around-Time of Brain Magnetic Resonance Images Using an AI-enabled Abnormality Detector for Prioritisation

TypeinterventionalSponsorKing's College LondonRan2027 to 2030Enrolled100,800ConditionsBrainArmsMIDI
3 · Its place in the literature

Who cites it

818 citing papers in PubMed, 5 syntheses or guidelines pooled it, 1,619 citations in OpenAlex.

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  5. Racial and Ethnic Disparities in Survival among Patients with Cholangiocarcinoma in the United States: A Systematic Review and Meta-analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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  8. Trends, Disparities, and Outcomes in Time to Treatment Initiation in Patients With Early-Onset Colorectal Cancer.JGH open : an open access journal of gastroenterology and hepatology · 2026
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758 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Timothy P HannaDivision of Cancer Care and Epidemiology, Cancer Research Institute at Queen's University, 10 Stuart Street, 2nd Level, Kingston, ON K7L3N6, Canada.ORCID 0000-0003-3228-6042
Will D KingDepartment of Public Health Sciences, Queen's University, Kingston, ON, Canada.
Stephane ThibodeauDepartment of Oncology, Queen's University, Kingston, ON, Canada.ORCID 0000-0002-7849-1685
Matthew JalinkDivision of Cancer Care and Epidemiology, Cancer Research Institute at Queen's University, 10 Stuart Street, 2nd Level, Kingston, ON K7L3N6, Canada.
Gregory A PaulinDepartment of Oncology, Queen's University, Kingston, ON, Canada.ORCID 0000-0001-8752-0102
Elizabeth Harvey-JonesDepartment of Clinical Oncology, Guy's & St Thomas' NHS Trust, London, UK.
Dylan E O'SullivanDepartment of Public Health Sciences, Queen's University, Kingston, ON, Canada.
Christopher M BoothDivision of Cancer Care and Epidemiology, Cancer Research Institute at Queen's University, 10 Stuart Street, 2nd Level, Kingston, ON K7L3N6, Canada.ORCID 0000-0002-1505-0575
Richard SullivanInstitute of Cancer Policy, King's College London, London, UK.ORCID 0000-0002-6435-1825
Ajay AggarwalDepartment of Clinical Oncology, Guy's & St Thomas' NHS Trust, London, UK.ORCID 0000-0001-9645-6659
Queen's University · CAKing's College London · GBGuy's and St Thomas' NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo quantify the association of cancer treatment delay and mortality for each four week increase in delay to inform cancer treatment pathways.

designSystematic review and meta-analysis. DATA SOURCES: Published studies in Medline from 1 January 2000 to 10 April 2020. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Curative, neoadjuvant, and adjuvant indications for surgery, systemic treatment, or radiotherapy for cancers of the bladder, breast, colon, rectum, lung, cervix, and head and neck were included. The main outcome measure was the hazard ratio for overall survival for each four week delay for each indication. Delay was measured from diagnosis to first treatment, or from the completion of one treatment to the start of the next. The primary analysis only included high validity studies controlling for major prognostic factors. Hazard ratios were assumed to be log linear in relation to overall survival and were converted to an effect for each four week delay. Pooled effects were estimated using DerSimonian and Laird random effect models.

resultsThe review included 34 studies for 17 indications (n=1 272 681 patients). No high validity data were found for five of the radiotherapy indications or for cervical cancer surgery. The association between delay and increased mortality was significant (P<0.05) for 13 of 17 indications. Surgery findings were consistent, with a mortality risk for each four week delay of 1.06-1.08 (eg, colectomy 1.06, 95% confidence interval 1.01 to 1.12; breast surgery 1.08, 1.03 to 1.13). Estimates for systemic treatment varied (hazard ratio range 1.01-1.28). Radiotherapy estimates were for radical radiotherapy for head and neck cancer (hazard ratio 1.09, 95% confidence interval 1.05 to 1.14), adjuvant radiotherapy after breast conserving surgery (0.98, 0.88 to 1.09), and cervix cancer adjuvant radiotherapy (1.23, 1.00 to 1.50). A sensitivity analysis of studies that had been excluded because of lack of information on comorbidities or functional status did not change the findings.

conclusionsCancer treatment delay is a problem in health systems worldwide. The impact of delay on mortality can now be quantified for prioritisation and modelling. Even a four week delay of cancer treatment is associated with increased mortality across surgical, systemic treatment, and radiotherapy indications for seven cancers. Policies focused on minimising system level delays to cancer treatment initiation could improve population level survival outcomes.

Indexed as

Time-to-TreatmentHumansNeoplasmsRisk FactorsSurvival Analysis

Identifiers

PMID33148535
PMCPMC7610021
OpenAlexW3095689420

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.