Evidence map›Paper›PMID 32222709›Full record

ArticleOncology research and treatment2020

A Retrospective Analysis of Clinical Trial Accrual of Patients Presented in a Multidisciplinary Tumor Board at a Tertiary Health Care Center and Associated Barriers.

Erin M Mobley, Umang Swami, Sarah Mott, Agnes Ounda, Mohammed Milhem, Varun Monga

Open access · bronzeAbstract read
In one paragraph

Article in Oncology research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Criteria and indicators to evaluate quality of care in genitourinary tumour boards.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Pooled it
  2. Prompt-directed ambient artificial intelligence for automated multidisciplinary tumor board documentation.Annals of oncology : official journal of the European Society for Medical Oncology · 2026
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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

6 authors at 4 institutions in 1 country.

Erin M MobleyCenter for Young Adult Cancer Survivorship, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Umang SwamiDivision of Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
Sarah MottHolden Comprehensive Cancer Center, University of Iowa, Iowa City, Iowa, USA.
Agnes OundaHealing Kidneys Institute, Shenandoah, Texas, USA.
Mohammed MilhemDivision of Hematology, Oncology and Blood and Marrow Transplantation, Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA.
Varun MongaDivision of Hematology, Oncology and Blood and Marrow Transplantation, Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA, varun-monga@uiowa.edu.
University of Iowa · USSouthwest Kidney Institute · USUniversity of Southern California · USUniversity of Utah · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
Training grant for Cancer Control and EpidemiologyT32CA009492 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN · 1985 to 2019
$7.4M
NCI NIH HHS P30 CA086862NCI NIH HHS T32 CA009492
6 · The paper itself

Abstract

introductionCancer clinical trial accruals have been historically low and are affected by several factors. Multidisciplinary Tumor Board Meetings (MTBM) are conducted regularly and immensely help to devise a comprehensive care plan including discussions about clinical trial availability and eligibility.

objectivesTo evaluate whether patient discussion at MTBM was associated with a higher consent rate for clinical trials at a single tertiary care center.

methodsInstitutional electronic medical records (EMR) and clinical trials management system (OnCore) were queried to identify all new patient visits in oncology clinics, consents to clinical trials, and MTBM notes between January 1, 2011 and December 31, 2015. The association between MTBM discussion and subsequent clinical trial enrollment within 16 weeks of the new patient visit was evaluated using a χ2 test.

resultsBetween January 1, 2011 and December 31, 2015, 11,794 new patients were seen in oncology clinics, and 2,225 patients (18.9%) were discussed at MTBMs. MTBM discussion conferred a higher rate of subsequent clinical trial consent within 16 weeks following the patient's first consultation in an oncology clinic: 4.1% for those who were discussed at a MTBM compared to 2.8% for those not discussed (p < 0.01).

conclusionsThis study provides evidence that MTBMs may be effective in identifying patients eligible for available clinical trials by reviewing eligibility criteria during MTBM discussions. We recommend discussion of all new patients in MTBM to improve the quality of care provided to those with cancer and enhanced clinical trial accrual.

Indexed as

Patient ParticipationCancer Care FacilitiesClinical Trials as TopicEligibility DeterminationFemaleGoverning BoardHumansInformed ConsentInterdisciplinary CommunicationMaleNeoplasmsPatient SelectionRetrospective StudiesRural PopulationTertiary Care CentersBarriersClinical trialMultidisciplinary tumor boardTumor board

Identifiers

PMID32222709
PMCPMC8188843
OpenAlexW3013226564

What OpenQuestion holds

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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.