Evidence map›Paper›PMID 27177742›Full record

ReviewCurrent hematologic malignancy reports2016

Exploring Big Data in Hematological Malignancies: Challenges and Opportunities.

Gustavo F Westin, Ajoy L Dias, Ronald S Go

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hematologic malignancy reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

3 authors.

Gustavo F WestinDivision of Hematology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Ajoy L DiasDivision of Hematology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Ronald S GoDivision of Hematology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. go.ronald@mayo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secondary analysis of large datasets has become a useful alternative to address research questions outside the reach of clinical trials. It is increasingly utilized in hematology and oncology. In this review, we provided an overview of some examples of commonly used large datasets in the USA and described common research themes that can be pursued using such a methodology. We selected a sample of 14 articles on adult hematologic malignancies published in 2015 and highlighted their contributions as well as limitations.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsDatabases, FactualHematologic NeoplasmsHematopoietic Stem Cell TransplantationHodgkin DiseaseHumansLeukemia, Myeloid, AcuteLymphoma, Large B-Cell, DiffuseMultiple MyelomaAcute myeloid leukemiaAmyloidosisDiffuse large B cell lymphomaHematopoietic stem cell transplantationHodgkin lymphomaMultiple myeloma

Identifiers

PMID27177742

What OpenQuestion holds

Textmetadata
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.