ArticleBMJ oncology2025
A systematic review comparing surveillance recommendations for the detection of recurrence following surgery across 16 common cancer types.
Article in BMJ oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Identifying Features of Scanxiety Among People With Cancer: A Nominal Group Technique Method.Psycho-oncology · 2026Article
- Long-term projections of cancer prevalence in Australia to 2050: a population-based statistical modelling study.The Lancet regional health. Western Pacific · 2026Article
- Healthcare professionals' perceived barriers and facilitators of risk-stratified follow-up care in lung cancer: a qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- A cross-sectional retrospective and prospective service evaluation of head and neck cancer patients' swallowing and quality of life concerns: are we doing enough?Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Healthcare Costs and Carbon Emissions of Stage III Melanoma Surveillance Imaging.Applied health economics and health policy · 2026Article
- Less is more: inverting the paradigm across the cancer care continuum.EClinicalMedicine · 2025Review
- Characterizing Surveillance Recommendations From National Comprehensive Cancer Network Guidelines.JAMA network open · 2025Article
- Surveillance imaging: minimal evidence and forgotten harms.BMJ oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Identify and compare guidelines making recommendations for surveillance to detect recurrence in 16 common solid cancers after initial curative treatment in asymptomatic patients. Methods and analysis: We conducted a systematic review, combining search results from two electronic databases, one guideline organisation website (NICE), expert consultation and manual searching. Screening and data extraction were carried out by multiple reviewers. We collected data from each guideline on recommendations for surveillance and the use of risk stratification. Findings were compared between cancer types and regions. Text mining was used to extract statements on the evidence for surveillance. A protocol was published on PROSPERO in 2021 (CRD42021289625). Results: We identified 123 guidelines across 16 cancer types. Almost all guidelines (n Conclusion: Although specific details of follow-up schedules vary, common challenges were identified across cancer types. These include heterogenous recommendations, vague or non-specific guidance and a lack of cited evidence supporting the use of surveillance to improve outcomes. Evidence generation in this area is challenging; however, increased availability to linked health records may provide a way forward. PROSPERO registration number: CRD42021289625.
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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.