Evidence map›Paper›PMID 37568576›Full record

ArticleCancers2023

Textbook Oncological Outcomes for Robotic Colorectal Cancer Resections: An Observational Study of Five Robotic Colorectal Units.

José Moreira Azevedo, Sofoklis Panteleimonitis, Danilo Mišković, Ignacio Herrando, Mahmood Al-Dhaheri, Mukhtar Ahmad, Tahseen Qureshi, Laura Melina Fernandez, Mick Harper, Amjad Parvaiz

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 5 institutions in 3 countries.

José Moreira AzevedoChampalimaud Foundation, Av. Brasilia, 1400-038 Lisbon, Portugal.ORCID 0000-0002-2918-3088
Sofoklis PanteleimonitisChampalimaud Foundation, Av. Brasilia, 1400-038 Lisbon, Portugal.
Danilo MiškovićSt. Mark's Hospital, London NW10 7NS, UK.
Ignacio HerrandoChampalimaud Foundation, Av. Brasilia, 1400-038 Lisbon, Portugal.ORCID 0000-0001-8380-4722
Mahmood Al-DhaheriHamad General Hospital, Doha 3050, Qatar.ORCID 0000-0001-8195-0486
Mukhtar AhmadPoole Hospital NHS Trust, Longfleet Road, Poole BH15 2JB, UK.ORCID 0009-0005-5058-5398
Tahseen QureshiPoole Hospital NHS Trust, Longfleet Road, Poole BH15 2JB, UK.
Laura Melina FernandezChampalimaud Foundation, Av. Brasilia, 1400-038 Lisbon, Portugal.
Mick HarperSchool of Health and Care Professions, University of Portsmouth, St. Andrews Court, St. Michael's Road, Portsmouth PO1 2PR, UK.ORCID 0000-0002-6030-6242
Amjad ParvaizChampalimaud Foundation, Av. Brasilia, 1400-038 Lisbon, Portugal.
Champalimaud Foundation · PTPoole Hospital · GBHamad General Hospital · QASt Mark's Hospital · GBUniversity of Portsmouth · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe quality of care of patients receiving colorectal resections has conventionally relied on individual metrics. When discussing with patients what these outcomes mean, they often find them confusing or overwhelming. Textbook oncological outcome (TOO) is a composite measure that summarises all the 'desirable' or 'ideal' postoperative clinical and oncological outcomes from both a patient's and doctor's point of view. This study aims to evaluate the incidence of TOO in patients receiving robotic colorectal cancer surgery in five robotic colorectal units and understand the risk factors associated with failure to achieve a TOO in these patients.

methodsWe present a retrospective, multicentric study with data from a prospectively collected database. All consecutive patients receiving robotic colorectal cancer resections from five centres between 2013 and 2022 were included. Patient characteristics and short-term clinical and oncological data were collected. A TOO was achieved when all components were realized-no conversion to open, no complication with a Clavien-Dindo (CD) ≥ 3, length of hospital stay ≤ 14, no 30-day readmission, no 30-day mortality, and R0 resection. The main outcome measure was a composite measure of "ideal" practice called textbook oncological outcomes.

resultsA total of 501 patients submitted to robotic colorectal cancer resection were included. Of the 501 patients included, 388 (77.4%) achieved a TOO. Four patients were converted to open (0.8%); 55 (11%) had LOS > 14 days; 46 (9.2%) had a CD ≥ 3 complication; 30-day readmission rate was 6% (30); 30-day mortality was 0.2% (1); and 480 (95.8%) had an R0 resection. Abdominoperineal resection was a risk factor for not achieving a TOO.

conclusionsRobotic colorectal cancer surgery in robotic centres achieves a high TOO rate. Abdominoperineal resection is a risk factor for failure to achieve a TOO. This measure may be used in future audits and to inform patients clearly on success of treatment.

Indexed as

colon cancercolorectal cancerquality of carerectal cancerrobotic surgerysurgical outcomes

Identifiers

PMID37568576
PMCPMC10417291
OpenAlexW4385277996

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.