Evidence map›Paper›PMID 30874865›Full record

ArticleDer Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen2019

[German Society for General and Visceral Surgery (DGAV) risk calculator of interventions for colorectal cancer : Presentation of a surgical algorithm on patient participation and quality assurance].

H J Buhr, C Klinger, K S Lehmann, B Strahwald, A Rieger

Abstract read
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In one paragraph

Article in Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen, 2019. 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. Article
  3. [Artificial intelligence in general and visceral surgery].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2020
    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

5 authors.

H J BuhrHaus der Bundespressekonferenz, Deutsche Gesellschaft für Allgemein- und Viszeralchirurgie e. V., Schiffbauerdamm 40, 10117, Berlin, Deutschland. hbuhr@dgav.de.
C KlingerHaus der Bundespressekonferenz, Deutsche Gesellschaft für Allgemein- und Viszeralchirurgie e. V., Schiffbauerdamm 40, 10117, Berlin, Deutschland.
K S LehmannHaus der Bundespressekonferenz, Deutsche Gesellschaft für Allgemein- und Viszeralchirurgie e. V., Schiffbauerdamm 40, 10117, Berlin, Deutschland.
B StrahwaldInstitut für medizinische Informationsverarbeitung, Biometrie und Epidemiologie, LMU München, München, Deutschland.
A RiegerInstitut für medizinische Informationsverarbeitung, Biometrie und Epidemiologie, LMU München, München, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Algorithms are increasingly being developed on the basis of large data sets, also in the field of health, whether for predicting treatment outcomes or life-expectancy. In surgery it is also becoming increasingly more important to analyze complications at an early stage and to subsequently reduce them. The aim is to improve the quality of treatment and quality of life and thus to improve patient well-being. The German Society for General and Visceral Surgery (DGAV) has developed 12 StuDoQ registers in which pseudonymized data from a total of 150,000 patients are recorded. Risk models were developed and validated at the Institute for Medical Information Processing, Biometry and Epidemiology (IBE) of the Ludwig Maximilian University in Munich using the collected data from the StuDoQ|colon cancer and StuDoQ|rectal cancer registers. Based on the collected patient data, the risk calculator determines the statistical probability of the individual complication profile of the patient who is to undergo surgery. The aim is to support surgeons and patients in the decision making process for the individual procedure. The surgeon with his individual experience ultimately remains responsible for the patient.

Indexed as

AlgorithmsColorectal NeoplasmsHumansPatient ParticipationQuality of LifeRisk AssessmentPatient participationQuality of lifeRisk modelStuDoQ registerTreatment quality

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.