Evidence map›Paper›PMID 31019964›Full record

Trial reportBioMed research international2019

The Role of a Decision Support System in Back Pain Diagnoses: A Pilot Study.

Achim Benditz, Florian Faber, Gabriela Wenk, Tina Fuchs, Natalie Salak, Joachim Grifka, Matthias Vogl, Matthias Menke, Petra Jansen

Abstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BioMed research international, 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. Article
  2. Article
  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

9 authors.

Achim BenditzDepartment of Orthopaedics, University Medical Centre Regensburg, Asklepios Klinikum Bad Abbach, Kaiser-Karl-V.-Allee 3, 93077 Bad Abbach, Germany.ORCID 0000-0001-9098-1495
Florian FaberDepartment of Orthopaedics, University Medical Centre Regensburg, Asklepios Klinikum Bad Abbach, Kaiser-Karl-V.-Allee 3, 93077 Bad Abbach, Germany.
Gabriela WenkAllianz Private Insurance AG, Königinstraße 28, 80802 Munich, Germany.
Tina FuchsAllianz Private Insurance AG, Königinstraße 28, 80802 Munich, Germany.
Natalie SalakAllianz Private Insurance AG, Königinstraße 28, 80802 Munich, Germany.
Joachim GrifkaDepartment of Orthopaedics, University Medical Centre Regensburg, Asklepios Klinikum Bad Abbach, Kaiser-Karl-V.-Allee 3, 93077 Bad Abbach, Germany.
Matthias VoglAllianz Private Insurance AG, Königinstraße 28, 80802 Munich, Germany.
Matthias MenkeAllianz Private Insurance AG, Königinstraße 28, 80802 Munich, Germany.
Petra JansenDepartment of Sport Science, University of Regensburg, Universitaetsstraße 31, 93053 Regensburg, Germany.ORCID 0000-0002-0973-2158

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is the main goal of this study to investigate the concordance of a decision support system and the recommendation of spinal surgeons regarding back pain. 111 patients had to complete the decision support system. Furthermore, their illness was diagnosed by a spinal surgeon. The results showed significant medium relation between the DSS and the diagnosis of the medical doctor. Besides, in almost 50% of the cases the recommendation for the treatment was concordant and overestimation occurred more often than underestimation. The results are discussed in relation to the "symptom checker" literature and the claim of further evaluations.

Indexed as

Clinical Decision-MakingDiagnosis, Computer-AssistedExpert SystemsAdultAgedAged, 80 and overBack PainFemaleHumansMaleMiddle AgedPilot Projects

Identifiers

PMID31019964
PMCPMC6452564

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.