Evidence map›Paper›PMID 26670674›Full record

Trial reportInternational journal of colorectal disease2016

Early complication detection after colorectal surgery (CONDOR): study protocol for a prospective clinical diagnostic study.

Verena Kornmann, Bert van Ramshorst, Susan van Dieren, Nanette van Geloven, Marja Boermeester, Djamila Boerma

Abstract readClinical TrialMulticenter Study
PubMed Publisher
In one paragraph

Trial report in International journal of colorectal disease, 2016. 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
–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

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

  1. Meta-analysis of the Diagnostic Accuracy of C-Reactive Protein for Infectious Complications in Laparoscopic Versus Open Colorectal Surgery.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020
    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

6 authors.

Verena KornmannDepartment of Surgery, St. Antonius Hospital, 3435 CM, Nieuwegein, The Netherlands. vnnkornmann@gmail.com.
Bert van RamshorstDepartment of Surgery, St. Antonius Hospital, 3435 CM, Nieuwegein, The Netherlands. b.ramshorst@antoniusziekenhuis.nl.
Susan van DierenDepartment of Surgery, Academic Medical Centre, Amsterdam, The Netherlands. s.vandieren@amc.uva.nl.
Nanette van GelovenDepartment of Surgery, Tergooi Hospital, Hilversum, The Netherlands. avangeloven@tergooiziekenhuizen.nl.
Marja BoermeesterDepartment of Surgery, Academic Medical Centre, Amsterdam, The Netherlands. m.a.boermeester@amc.nl.
Djamila BoermaDepartment of Surgery, St. Antonius Hospital, 3435 CM, Nieuwegein, The Netherlands. d.boerma@antoniusziekenhuis.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAnastomotic leakage is one of the most feared complications following colorectal surgery with a high morbidity and mortality rate. Multiple risk factors have been identified, but leakage still occurs. Early detection is crucial in order to reduce morbidity and mortality. The aim of this study is to create a decision algorithm for early detection of anastomotic leakage.

methodsAll patients who undergo elective colorectal surgery for benign or malignant disease are enrolled in this multicenter study. The primary endpoint is the accuracy of the prediction of anastomotic leakage. The main study parameter is the occurrence of postoperative anastomotic leakage. Secondary study parameters are clinical (vital) parameters, additional laboratory or radiology examination, other complications, mortality, re-intervention, duration of hospital and intensive care stay, emergency room visits, readmission to the hospital and total costs. Daily physical examination and each step in clinical decision making will be evaluated prospectively in a standardized manner. The focus of the analysis will be on the added value of diagnostic tools, such as laboratory results and imaging studies, over physical examination by using logistic regression and decision tree analysis.

conclusionThis study aims to develop an optimal diagnostic algorithm that can act as a guideline for surgeons or surgical residents to early identify patients with anastomotic leakage after colorectal surgery.

Indexed as

AlgorithmsAnastomotic LeakClinical Decision-MakingColonic DiseasesEarly DiagnosisHumansPostoperative ComplicationsProspective StudiesRectal DiseasesRisk AssessmentAnastomotic leakageColorectal surgeryComplicationsRisk management

Identifiers

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.