Evidence map›Paper›PMID 29097500›Full record

Trial reportHaematologica2018

A bioclinical prognostic model using MYC and BCL2 predicts outcome in relapsed/refractory diffuse large B-cell lymphoma.

Mark Bosch, Ariz Akhter, Bingshu E Chen, Adnan Mansoor, David Lebrun, David Good, Michael Crump, Lois Shepherd, David W Scott, Douglas A Stewart

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Haematologica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 18 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

10 authors at 5 institutions in 1 country.

Mark BoschUniversity of Saskatchewan, SK, Canada.
Ariz AkhterUniversity of Calgary, AB, Canada.
Bingshu E ChenCanadian Cancer Trials Group, Queen's University, Kingston, ON, Canada.
Adnan MansoorUniversity of Calgary, AB, Canada.
David LebrunDepartment of Pathology and Molecular Medicine, Queen's University, Kingston, ON, Canada.
David GoodCanadian Cancer Trials Group, Queen's University, Kingston, ON, Canada.
Michael CrumpUniversity of Toronto, ON, Canada.
Lois ShepherdCanadian Cancer Trials Group, Queen's University, Kingston, ON, Canada.
David W ScottBC Cancer Agency, Vancouver, BC, Canada.
Douglas A StewartUniversity of Calgary, AB, Canada douglas.stewart@albertahealthservices.ca.
Queen's University · CAUniversity of Calgary · CABC Cancer Agency · CAUniversity of Saskatchewan · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to create a bioclinical model, based on clinical and molecular predictors of event-free and overall survival for relapsed/refractory diffuse large B-cell lymphoma patients treated on the Canadian Cancer Trials Group (CCTG) LY12 prospective study. In 91 cases, sufficient histologic material was available to create tissue microarrays and perform immunohistochemistry staining for CD10, BCL6, MUM1/IRF4, FOXP1, LMO2, BCL2, MYC, P53 and phosphoSTAT3 (pySTAT3) expression. Sixty-seven cases had material sufficient for fluorescent

Indexed as

Models, BiologicalAdultAgedFemaleGene Expression ProfilingHumansImmunohistochemistryIn Situ Hybridization, FluorescenceLymphoma, Large B-Cell, DiffuseMaleMiddle AgedPrognosisProto-Oncogene Proteins c-bcl-2Proto-Oncogene Proteins c-mycRecurrenceSalvage TherapyBCL2 protein, humanProto-Oncogene Proteins c-bcl-2Proto-Oncogene Proteins c-myc

Identifiers

PMID29097500
PMCPMC5792273
OpenAlexW2766663088

What OpenQuestion holds

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LicenceCC BY-NC
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.