Evidence map›Paper›PMID 29608198›Full record

ArticleAnnals of lymphoma2017

Disparities in lymphoma on the basis of race, gender, HIV status, and sexual orientation.

Melody Becnel, Christopher R Flowers, Loretta J Nastoupil

Abstract read
In one paragraph

Article in Annals of lymphoma, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. A systematic review of coping skill interventions to reduce anxiety and depressive symptoms among adults with hematologic malignancies.European journal of oncology nursing : the official journal of European Oncology Nursing Society · 2022
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Risks of Second Primary Gynecologic Cancers following Ovarian Cancer Treatment in Asian Ethnic Subgroups in the United States, 2000-2016.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  10. Article
  11. Follicular Lymphoma: Past, Present, and Future.Current treatment options in oncology · 2018
    Review
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.

Melody BecnelDivision of Cancer Medicine, Department of Lymphoma and Myeloma, the University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
Christopher R FlowersDepartment of Hematology and Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, GA, USA.
Loretta J NastoupilDivision of Cancer Medicine, Department of Lymphoma and Myeloma, the University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.

Funding

Mentored Patient Oriented Research in LymphomaK24CA208132 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI FLOWERS, CHRISTOPHER R · 2016 to 2020
$822k
NCI NIH HHS K24 CA208132
6 · The paper itself

Abstract

Lymphoid malignancies account for the sixth leading cause of death in the US, and, although survival is improving overall, this trend is not applicable to all patients. In this review, we describe disparities in the initial presentation, treatment, and outcomes across a diverse group of lymphoma patients on the basis of gender, race, HIV status, and sexual orientation. Identifying these disparities will hopefully lead to improved outcomes in these groups of lymphoma patients in the future.

Indexed as

fertility preservationHIV lymphomaLymphoma disparitiespregnancysexual minority group

Identifiers

PMID29608198
PMCPMC5877479

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.