Evidence map›Paper›PMID 28814269›Full record

ArticleBMC medical research methodology2017

Applied Swarm-based medicine: collecting decision trees for patterns of algorithms analysis.

Cédric M Panje, Markus Glatzer, Joscha von Rappard, Christian Rothermundt, Thomas Hundsberger, Valentin Zumstein, Ludwig Plasswilm, Paul Martin Putora

Abstract read
In one paragraph

Article in BMC medical research methodology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
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  14. Variations in radioiodine ablation: decision-making after total thyroidectomy.European journal of nuclear medicine and molecular imaging · 2020
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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

8 authors.

Cédric M PanjeDepartment of Radiation Oncology, Kantonsspital St. Gallen, Rorschacherstrasse 95, 9007, St. Gallen, Switzerland.
Markus GlatzerDepartment of Radiation Oncology, Kantonsspital St. Gallen, Rorschacherstrasse 95, 9007, St. Gallen, Switzerland.
Joscha von RappardDepartment of Nephrology, Inselspital Bern, Bern, Switzerland.
Christian RothermundtDepartment of Medical Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
Thomas HundsbergerDepartment of Medical Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
Valentin ZumsteinDepartment of Urology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
Ludwig PlasswilmDepartment of Radiation Oncology, Kantonsspital St. Gallen, Rorschacherstrasse 95, 9007, St. Gallen, Switzerland.
Paul Martin PutoraDepartment of Radiation Oncology, Kantonsspital St. Gallen, Rorschacherstrasse 95, 9007, St. Gallen, Switzerland. paulmartin.putora@kssg.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective consensus methodology has recently been applied in consensus finding in several studies on medical decision-making among clinical experts or guidelines. The main advantages of this method are an automated analysis and comparison of treatment algorithms of the participating centers which can be performed anonymously.

methodsBased on the experience from completed consensus analyses, the main steps for the successful implementation of the objective consensus methodology were identified and discussed among the main investigators.

resultsThe following steps for the successful collection and conversion of decision trees were identified and defined in detail: problem definition, population selection, draft input collection, tree conversion, criteria adaptation, problem re-evaluation, results distribution and refinement, tree finalisation, and analysis.

conclusionThis manuscript provides information on the main steps for successful collection of decision trees and summarizes important aspects at each point of the analysis.

Indexed as

AlgorithmsClinical Decision-MakingDecision TreesHumansCancerConsensusConsensus findingDecision treeRadiotherapySwarm-based medicine

Identifiers

PMID28814269
PMCPMC5559810

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.