Evidence map›Paper›PMID 35454047›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Decision Support for Oropharyngeal Cancer Patients Based on Data-Driven Similarity Metrics for Medical Case Comparison.

Julia Buyer, Alexander Oeser, Nora Grieb, Andreas Dietz, Thomas Neumuth, Matthaeus Stoehr

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 29% of its field
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 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Data-driven decision making in patient management: a systematic review.BMC medical informatics and decision making · 2025
    Pooled it
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Julia BuyerInnovation Center Computer Assisted Surgery (ICCAS), 04103 Leipzig, Germany.
Alexander OeserInnovation Center Computer Assisted Surgery (ICCAS), 04103 Leipzig, Germany.ORCID 0000-0003-3767-6437
Nora GriebInnovation Center Computer Assisted Surgery (ICCAS), 04103 Leipzig, Germany.
Andreas DietzHead and Neck Surgery, Department of Otolaryngology, University Hospital Leipzig, 04103 Leipzig, Germany.
Thomas NeumuthInnovation Center Computer Assisted Surgery (ICCAS), 04103 Leipzig, Germany.
Matthaeus StoehrHead and Neck Surgery, Department of Otolaryngology, University Hospital Leipzig, 04103 Leipzig, Germany.
University Hospital Leipzig · DE

Funding

Federal Ministry of Education and Research 03Z1L512A
6 · The paper itself

Abstract

Making complex medical decisions is becoming an increasingly challenging task due to the growing amount of available evidence to consider and the higher demand for personalized treatment and patient care. IT systems for the provision of clinical decision support (CDS) can provide sustainable relief if decisions are automatically evaluated and processed. In this paper, we propose an approach for quantifying similarity between new and previously recorded medical cases to enable significant knowledge transfer for reasoning tasks on a patient-level. Methodologically, 102 medical cases with oropharyngeal carcinoma were analyzed retrospectively. Based on independent disease characteristics, patient-specific data vectors including relevant information entities for primary and adjuvant treatment decisions were created. Utilizing the

Indexed as

case-based reasoningclinical decision support systemsdiagnostic patient modelhead and neck cancersimilarity analysis

Identifiers

PMID35454047
PMCPMC9029638
OpenAlexW4224018674

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.