Evidence map›Paper›PMID 33244719›Full record

ArticleLangenbeck's archives of surgery2021

Risk factors for suboptimal laparoscopic surgery in rectal cancer patients.

Pere Planellas, Helena Salvador, Lídia Cornejo, Maria Buxó, Ramon Farrés, Xavier Molina, Albert Maroto, Núria Ortega, Jose Ignacio Rodríguez-Hermosa, Antoni Codina-Cazador

Registry-linked trialAbstract read
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In one paragraph

Article in Langenbeck's archives of surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03107650 (Preoperative Prediction Model of Pathological Outcomes), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT03107650 completednot on this map

Preoperative Prediction Model of Pathological Outcomes (Mesorectum Quality and Positive Circumferential Resection Margin) in Patients With Mid-low Rectal Cancer

TypeobservationalSponsorPere Planellas GinéRan2018 to 2020Enrolled323ConditionsRectal CancerArmsTransanal total mesorectal excision of rectal cancer
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. 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.

Pere PlanellasColorectal Surgery Section, Department of General and Digestive Surgery, University Hospital of Girona, University of Girona, France Avenue s/n, 17007, Girona, Spain. planellasp@gmail.com.ORCID http://orcid.org/0000-0003-2799-3105
Helena SalvadorColorectal Surgery Section, Department of General and Digestive Surgery, University Hospital of Girona, University of Girona, France Avenue s/n, 17007, Girona, Spain.
Lídia CornejoGirona Biomedical Research Foundation, Girona, Spain.
Maria BuxóGirona Biomedical Research Foundation, Girona, Spain.
Ramon FarrésColorectal Surgery Section, Department of General and Digestive Surgery, University Hospital of Girona, University of Girona, France Avenue s/n, 17007, Girona, Spain.
Xavier MolinaDepartment of Radiology, Institut Diagnòstic per la Imatge, University Hospital of Girona, Girona, Spain.
Albert MarotoDepartment of Radiology, Institut Diagnòstic per la Imatge, University Hospital of Girona, Girona, Spain.
Núria OrtegaColorectal Surgery Section, Department of General and Digestive Surgery, University Hospital of Girona, University of Girona, France Avenue s/n, 17007, Girona, Spain.
Jose Ignacio Rodríguez-HermosaColorectal Surgery Section, Department of General and Digestive Surgery, University Hospital of Girona, University of Girona, France Avenue s/n, 17007, Girona, Spain.
Antoni Codina-CazadorColorectal Surgery Section, Department of General and Digestive Surgery, University Hospital of Girona, University of Girona, France Avenue s/n, 17007, Girona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLaparoscopic surgery for rectal cancer is technically complex. This study aimed to identify risk factors for suboptimal laparoscopic surgery (involved margins, incomplete mesorectal excision, and/or conversion to open surgery) in patients with rectal cancer.

methodsWe included patients undergoing laparoscopic anterior resection for rectal cancer between June 2009 and June 2018. We defined the outcome variable suboptimal laparoscopic surgery as conversion to open surgery or inadequate histopathological specimens (margins < 1 mm or involved and/or poor-quality mesorectal excision). To identify independent predictors of suboptimal laparoscopic surgery, we analyzed 15 prospectively recorded demographic, clinical, and anthropometric variables obtained from our rectal cancer unit's database. Subanalyses examined the same variables with respect to conversion and to inadequate histopathological specimens.

resultsOf the 323 patients included, 91 (28.2%) had suboptimal laparoscopic surgery. In the multivariate analysis, the independent factors associated with all suboptimal laparoscopic surgery were tumor location ≤ 5 cm from the anal verge (OR = 2.95, 0.95% CI 1.32-6.60; p = 0.008) and the intertuberous distance (OR = 0.79, 0.95% CI 0.65-0.96; p = 0.019). In the subanalyses, the promontorium-retropubic axis was an independent predictor of conversion (OR 0.70, 0.95% CI 0.51-0.96; p = 0.026), and tumor location ≤ 5 cm from the anal verge (OR 3.71, 0.95% 1.51-9.15; p = 0.004) was an independent predictor of inadequate histopathological specimens.

conclusionsPredictive factors for suboptimal laparoscopic anterior resection for rectal cancer were tumor location and the intertuberous distance. These results could help surgeons decide whether to use other surgical approaches in complex cases.

trial registrationThe study was registered at Clinicaltrials.org (No. NCT03107650).

Indexed as

LaparoscopyRectal NeoplasmsConversion to Open SurgeryHumansRisk FactorsTreatment OutcomeColorectal surgeryLaparoscopyPredictive modelRectal cancer

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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.