Evidence map›Paper›PMID 33596881›Full record

ArticleBMC cancer2021

Multidisciplinary tumor boards and their analyses: the yin and yang of outcome measures.

Monika Engelhardt, Gabriele Ihorst, Martin Schumacher, Michael Rassner, Laura Gengenbach, Mandy Möller, Khalid Shoumariyeh, Jakob Neubauer, Juliane Farthmann, Georg Herget and 1 more

Open access · goldAbstract readLetter
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 15 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

11 authors at 2 institutions in 1 country.

Monika EngelhardtUniversity of Freiburg Medical Center, Hematology & Oncology, Faculty of Medicine, Hugstetterstr. 53, 79106, Freiburg, Germany. monika.engelhardt@uniklinik-freiburg.de.ORCID http://orcid.org/0000-0003-0405-1676
Gabriele IhorstComprehensive Cancer Center Freiburg (CCCF), Freiburg im Breisgau, Germany.
Martin SchumacherComprehensive Cancer Center Freiburg (CCCF), Freiburg im Breisgau, Germany.
Michael RassnerUniversity of Freiburg Medical Center, Hematology & Oncology, Faculty of Medicine, Hugstetterstr. 53, 79106, Freiburg, Germany.
Laura GengenbachUniversity of Freiburg Medical Center, Hematology & Oncology, Faculty of Medicine, Hugstetterstr. 53, 79106, Freiburg, Germany.
Mandy MöllerUniversity of Freiburg Medical Center, Hematology & Oncology, Faculty of Medicine, Hugstetterstr. 53, 79106, Freiburg, Germany.
Khalid ShoumariyehUniversity of Freiburg Medical Center, Hematology & Oncology, Faculty of Medicine, Hugstetterstr. 53, 79106, Freiburg, Germany.
Jakob NeubauerComprehensive Cancer Center Freiburg (CCCF), Freiburg im Breisgau, Germany.
Juliane FarthmannComprehensive Cancer Center Freiburg (CCCF), Freiburg im Breisgau, Germany.
Georg HergetComprehensive Cancer Center Freiburg (CCCF), Freiburg im Breisgau, Germany.
Ralph WäschUniversity of Freiburg Medical Center, Hematology & Oncology, Faculty of Medicine, Hugstetterstr. 53, 79106, Freiburg, Germany.
University of Freiburg · DEUniversity Medical Center Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe standard to ensure utmost cancer treatment is a prerequisite in national cancer plans for comprehensive cancer centers (CCCs) and ensured through multidisciplinary tumor boards (MTBs). Despite these being compulsory for CCCs, various analyses on MTBs have been performed, since MTBs are resource-intensive. Outcome measures in these prior analyses had been survival (OS), MTB-adherence and -satisfaction, inclusion of patients into clinical trials and better cancer care. MAIN BODY: A publication from Freytag et al. performed an analysis in multiple tumor entities and assessed the effect of number of MTBs. By matched-pair analysis, they compared response and OS of patients, whose cases were discussed in MTBs vs. those that were not. The analysis included 454 patients and 66 different tumor types. Only patients with > 3 MTBs showed a significantly better OS than patients with no MTB meeting. Response to treatment, relapse free survival and time to progression were not found to be better, nor was there any difference for a specific tumor entity with vs. without MTB discussions. An in-depth discussion of these results, with respect to the literature (PubMed search: "MTBs AND cancer") and within the author group, including statisticians specialized in data analysis of cancer patients and questions addressed in MTBs, was performed to interpret these findings. We conclude that the results by Freytag et al. are deceiving due to an "immortal time bias" that requires more careful data interpretation.

conclusionsThe result of Freytag et al. of a seemingly positive impact of higher number of MTBs needs to be interpreted cautiously: their presumed better OS in patients with > 3 MTB discussions is misleading, due to an immortal time bias. Here patients need to survive long enough to be discussed more often. Therefore, these results should not lead to the conclusion that more MTBs will "automatically" increase cancer patients' OS, rather than that the insightful discussion, at best in MTBs and with statisticians, will generate meaningful advice, that is important for cancer patients.

Indexed as

Interdisciplinary CommunicationHumansNeoplasmsOutcome Assessment, Health CarePatient Care TeamPractice Guidelines as TopicAdherence and complianceClinical trial inclusionMultidisciplinary tumor boards (MTBs)Outcome analysisSatisfaction analysis

Identifiers

PMID33596881
PMCPMC7891134
OpenAlexW3130007839

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.