Evidence map›Paper›PMID 37255390›Full record

ArticleCancer medicine2023

Implementation of the measure of case discussion complexity to guide selection of prostate cancer patients for multidisciplinary team meetings.

Jessica Wihl, Victor Falini, Sixten Borg, Olof Stahl, Thomas Jiborn, Bjorn Ohlsson, Mef Nilbert

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Jessica WihlDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden.ORCID 0000-0002-6708-3563
Victor FaliniRegional Cancer Centre South, Region Skåne, Lund, Sweden.
Sixten BorgRegional Cancer Centre South, Region Skåne, Lund, Sweden.
Olof StahlDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Thomas JibornRegional Cancer Centre South, Region Skåne, Lund, Sweden.
Bjorn OhlssonRegional Cancer Centre South, Region Skåne, Lund, Sweden.
Mef NilbertDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Lund University · SERegion Västra Götaland · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultidisciplinary team meetings (MDTMs) provide an integrated team approach to ensure individualized and evidence-based treatment recommendations and best expert advice in cancer care. A growing number of patients and more complex treatment options challenge MDTM resources and evoke needs for case prioritization. In this process, decision aids could provide streamlining and standardize evaluation of case complexity. We applied the recently developed Measure of Case Discussion Complexity, MeDiC, instrument with the aim to validate its performance in another healthcare setting and diagnostic area as a means to provide cases for full MDTM discussions.

methodsThe 26-item MeDiC instrument evaluates case complexity and was applied to 364 men with newly diagnosed prostate cancer in Sweden. MeDiC scores were generated from individual-level health data and were correlated with clinicopathological parameters, healthcare setting, and the observed clinical case selection for MDTMs.

resultsApplication of the MeDiC instrument was feasible with rapid scoring based on available clinical data. Patients with high-risk prostate cancers had significantly higher MeDiC scores than patients with low or intermediate-risk cancers. In the total study, population affected lymph nodes and metastatic disease significantly influenced MDTM referral, whereas comorbidities and age did not predict MDTM referral. When individual patient MeDiC scores were compared to the clinical MDTM case selection, advanced stage, T3/T4 tumors, involved lymph nodes, presence of metastases and significant physical comorbidity were identified as key MDTM predictive factors.

conclusionsApplication of the MeDiC instrument in prostate cancer may be used to streamline case selection for MDTMs in cancer care and may complement clinical case selection.

Indexed as

Patient Care TeamProstatic NeoplasmsHumansInterdisciplinary CommunicationMaleReferral and ConsultationSwedencomorbiditydecision aidmultidisciplinary teamprostate cancertumor board

Identifiers

PMID37255390
PMCPMC10417062
OpenAlexW4378783288

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.