ReviewCureus2026
Day-of-Surgery Cancellations in NHS and Independent-Sector Elective Surgery in England: A Narrative Review of Publicly Available Data.
Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Day-of-surgery cancellation of elective surgery causes patient harm, wastes theatre capacity, and reflects wider perioperative system pressure. In England, the principal public source for routine surveillance is the NHS England Quarterly Monitoring of Cancelled Operations (QMCO) collection, but direct comparison between NHS trusts and independent-sector providers remains methodologically difficult. This revised narrative review synthesised 10 publicly available NHS England datasets/documents and 13 supporting peer-reviewed or policy sources relevant to elective surgery cancellation and independent-sector provision. Publicly available national time-series data show that last-minute non-clinical cancellation rates have generally remained around 1% of elective admissions since the early 2000s, whereas the proportion of cancelled patients not treated within 28 days increased substantially after the COVID-19 pause in data collection. In the latest official commentary, 21,456 operations were cancelled at the last minute in the third quarter (Q3) 2025/26, and 4,821 patients (22.5%) breached the 28-day standard. Recent provider files identify only a small number of independent-sector organisations. Across the public extracts reviewed from 2021/22 to 2025/26 (Q1-Q3), identifiable independent-sector providers accounted for 296 cancellations versus 337,004 in NHS organisations, contributing under 0.2% of recorded cancellations in each year examined. However, the public files do not provide matched provider-level denominators or case-mix adjustment, and the reporting scope has changed over time. The main conclusion is therefore methodological: current public English data are suitable for surveillance of NHS-funded last-minute cancellations, but they do not permit a fair denominator-matched comparison of day-of-surgery cancellation rates between NHS trusts and private providers. Future comparative work will require linked activity denominators, transparent provider classification, and standardised sector-wide reporting.
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Registered trials
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