Evidence map›Paper›PMID 38926233›Full record

ArticleUpdates in surgery2024

An artificial intelligence-designed predictive calculator of conversion from minimally invasive to open colectomy in colon cancer.

Sameh Hany Emile, Nir Horesh, Zoe Garoufalia, Rachel Gefen, Peter Rogers, Steven D Wexner

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Updates in surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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.

Sameh Hany EmileEllen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA.
Nir HoreshEllen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA.
Zoe GaroufaliaEllen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA.
Rachel GefenEllen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA.
Peter RogersEllen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA.
Steven D WexnerEllen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA. wexners@ccf.org.ORCID http://orcid.org/0000-0001-8046-5753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally invasive surgery is safe and effective in colorectal cancer. Conversion to open surgery may be associated with adverse effects on treatment outcomes. This study aimed to assess risk factors of conversion from minimally invasive to open colectomy for colon cancer and impact of conversion on short-term and survival outcomes. This case-control study included colon cancer patients undergoing minimally invasive colectomy from the National Cancer Database (2015-2019). Logistic regression analyses were conducted to determine independent predictors of conversion from laparoscopic and robotic colectomy to open surgery. 26,546 patients (mean age: 66.9 ± 13.1 years) were included. Laparoscopic and robotic colectomies were performed in 79.1% and 20.9% of patients, respectively, with a 10.6% conversion rate. Independent predictors of conversion were male sex (OR: 1.19, p = 0.014), left-sided cancer (OR: 1.35, p < 0.001), tumor size (OR: 1, p = 0.047), stage II (OR: 1.25, p = 0.007) and stage III (OR: 1.47, p < 0.001) disease, undifferentiated carcinomas (OR: 1.93, p = 0.002), subtotal (OR: 1.25, p = 0.011) and total (OR: 2.06, p < 0.001) colectomy, resection of contiguous organs (OR: 1.9, p < 0.001), and robotic colectomy (OR: 0.501, p < 0.001). Conversion was associated with higher 30- and 90-day mortality and unplanned readmission, longer hospital stay, and shorter overall survival (59.8 vs 65.3 months, p < 0.001). Male patients, patients with bulky, high-grade, advanced-stage, and left-sided colon cancers, and patients undergoing extended resections are at increased risk of conversion from minimally invasive to open colectomy. The robotic platform was associated with reduced odds of conversion. However, surgeons' technical skills and criteria for conversion could not be assessed.

Indexed as

Artificial IntelligenceColectomyColonic NeoplasmsConversion to Open SurgeryLaparoscopyRobotic Surgical ProceduresAgedCase-Control StudiesFemaleHumansLength of StayMaleMiddle AgedMinimally Invasive Surgical ProceduresNeoplasm StagingRisk FactorsColon cancerConversionImpactMinimally Invasive colectomyOpen colectomyPredictors

Identifiers

PMID38926233
PMCPMC11341585

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.