Evidence map›Paper›PMID 37465324›Full record

ArticleThe Lancet regional health. Europe2023

Managing the cancer backlog: a national population-based study of patient mobility, waiting times and 'spare capacity' for cancer surgery.

Ajay Aggarwal, Lu Han, Richard Sullivan, Kate Haire, Vijay Sangar, Jan van der Meulen

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Europe, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Countdown to lobectomy: interventions to improve waiting times for lung cancer resection.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026
    Article
  4. 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

6 authors at 4 institutions in 1 country.

Ajay AggarwalDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Lu HanDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Richard SullivanInstitute of Cancer Policy, King's College London, London, UK.
Kate HaireSouth East London Cancer Alliance, UK.
Vijay SangarThe Christie NHS Trust and Manchester University NHS Foundation Trust, Manchester, UK.
Jan van der MeulenDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.
King's College London · GBLondon School of Hygiene & Tropical Medicine · GBLondon Cancer · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Waiting times for cancer treatments continue to increase in many countries. In this study we estimated potential 'spare surgical capacity' in the English NHS and identified regions more likely to have spare capacity based on patterns of patient mobility (the extent to which patients receive surgery at hospitals other than their nearest). Methods: We identified patients who had an elective breast or colorectal cancer surgical resection between January 2016 and December 2018. We estimated each hospital's 'maximum surgical capacity' as the maximum 6-month moving average of its surgical volume. 'Spare surgical capacity' was estimated as the difference between maximum surgical capacity and observed surgical volume. We assessed the association between spare surgical capacity and whether a hospital performed more or fewer procedures than expected due to patient mobility as well as the association between spare surgical capacity and whether or not waiting times targets for treatment were likely to be met. Findings: 100,585 and 49,445 patients underwent breast and colorectal cancer surgery respectively. 67 of 166 hospitals (40.4%) providing breast cancer surgery and 82 of 163 hospitals (50.3%) providing colorectal cancer surgery used less than 80% of their maximum surgical capacity. Hospitals with a 'net loss' of patients to hospitals further away had more potential spare capacity than hospitals with a 'net gain' of patients (p < 0.001 for breast and p = 0.01 for colorectal cancer). At the national level, we projected an annual potential spare capacity of 8389 breast cancer and 4262 colorectal cancer surgical procedures, approximately 25% of the volumes actually performed. Interpretation: Spare surgical capacity potentially exists in the present configuration of hospitals providing cancer surgery and requires regional allocation for efficient utilisation. Funding: National Institute for Health Research.

Indexed as

Cancer surgeryCapacityPatient mobilityTreatment backlogWaiting times

Identifiers

PMID37465324
PMCPMC10350851
OpenAlexW4368376693

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.