Evidence map›Paper›PMID 39939658›Full record

Observational studyScientific reports2025

Seasonal and cyclical variations in short-term postoperative outcomes of colorectal cancer: a time series analysis.

José Martín-Arévalo, David Moro-Valdezate, Stephanie García-Botello, Leticia Pérez-Santiago, David Casado-Rodrigo, Luisa Paola Garzón-Hernández, Francisco Castillejos-Ibáñez, José Saúl Sánchez-Lara, Carolina Martínez-Ciarpaglini, Vicente Pla-Martí

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

10 authors.

José Martín-ArévaloDepartment of Surgery, University of Valencia, Valencia, Spain.
David Moro-ValdezateDepartment of Surgery, University of Valencia, Valencia, Spain. david.moro@uv.es.ORCID 0000-0003-0425-8677
Stephanie García-BotelloDepartment of Surgery, University of Valencia, Valencia, Spain.
Leticia Pérez-SantiagoColorectal Surgery Unit, Department of General and Digestive Surgery, INCLIVA Biomedical Research Institute, Hospital Clínico Universitario de Valencia, Av. Blasco Ibáñez, 15, 46010, Valencia, Spain.
David Casado-RodrigoColorectal Surgery Unit, Department of General and Digestive Surgery, INCLIVA Biomedical Research Institute, Hospital Clínico Universitario de Valencia, Av. Blasco Ibáñez, 15, 46010, Valencia, Spain.
Luisa Paola Garzón-HernándezColorectal Surgery Unit, Department of General and Digestive Surgery, INCLIVA Biomedical Research Institute, Hospital Clínico Universitario de Valencia, Av. Blasco Ibáñez, 15, 46010, Valencia, Spain.
Francisco Castillejos-IbáñezColorectal Surgery Unit, Department of General and Digestive Surgery, INCLIVA Biomedical Research Institute, Hospital Clínico Universitario de Valencia, Av. Blasco Ibáñez, 15, 46010, Valencia, Spain.
José Saúl Sánchez-LaraColorectal Surgery Unit, Department of General and Digestive Surgery, INCLIVA Biomedical Research Institute, Hospital Clínico Universitario de Valencia, Av. Blasco Ibáñez, 15, 46010, Valencia, Spain.
Carolina Martínez-CiarpagliniDepartment of Pathology, INCLIVA Biomedical Research Institute, University of Valencia, Valencia, Spain.
Vicente Pla-MartíDepartment of Surgery, University of Valencia, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify a cyclical pattern in short-term postoperative outcomes after colorectal cancer (CRC) surgery across the year. Observational study including all consecutive patients diagnosed with CRC who underwent oncological surgery between January 2012 and December 2023. A time series study was performed to identify a possible cyclic pattern of postoperative complications. Non-supervised learning techniques were used to identify months of surgery with similar outcome variables in the time series. Multivariable analysis with logistic binary regression was conducted to identify independent risk factors for postoperative complications. A total of 1576 patients met the inclusion criteria. The postoperative morbidity and mortality rates were 41.1% and 3.7%, respectively. A cyclical pattern was identified, suggesting that postoperative complications were periodically higher in some months across the year. Three different clusters were identified. Group 1: January, April, July, and August; Group 2: February, May, September, November, and December; and Group 3: March, June, and October. No differences in baseline characteristics were found between clusters. Group 3 presented the highest rate of anastomotic leak (p ≤ 0.001; OR = 1.61, 95% CI 1.30-2.00), unnoticed perforation p = 0.027; OR = 1.86, 95% CI 1.18-2.93), diffuse postoperative peritonitis (p = 0.018; OR = 1.50, 95% CI 1.10-2.04) and needed more postoperative reoperations (p = 0.013; OR = 1.33, 95% CI 1.07-1.65). Multivariate analysis revealed male sex (p = 0.002), duration of operation (p = 0.017) and month grouping (p ≤ 0.001) as independent risk factors for anastomotic leak. Postoperative complications after CRC surgery follow a cyclical pattern, but without seasonal distribution. Three well-defined clusters with different postoperative outcomes have been identified. Month cluster was one of the independent risk factors for anastomotic leak.

Indexed as

Colorectal NeoplasmsPostoperative ComplicationsSeasonsAgedAnastomotic LeakFemaleHumansMaleMiddle AgedRisk FactorsTreatment OutcomeColorectal cancerCyclical patternPostoperative outcomesTime series

Identifiers

PMID39939658
PMCPMC11822096

What OpenQuestion holds

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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.