Evidence map›Paper›PMID 22754588›Full record

ArticleExpert opinion on medical diagnostics2012

Risk Factors of Follicular Lymphoma.

Shuangge Ma

Abstract read
In one paragraph

Article in Expert opinion on medical diagnostics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Methylenetetrahydrofolate reductase gene polymorphisms association with the risk of follicular lymphoma: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Pooled it
  2. Risk of lymphoma among people with HIV in the United States, 2001-2019.Journal of the National Cancer Institute · 2025
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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

1 author.

Shuangge MaSchool of Public Health, Yale University.

Funding

Novel Methods for Integrative Analysis of Cancer Genomic DataR01CA142774 · NCI · YALE UNIVERSITY · PI MA, SHUANGGE · 2010 to 2013
$1.3M
Robust rank-based methods and detection of GXE in cancer etiology and survivalR21CA165923 · NCI · YALE UNIVERSITY · PI MA, SHUANGGE, ZHANG, YAWEI · 2012 to 2014
$421k
NCI NIH HHS R01 CA142774NCI NIH HHS R21 CA165923
6 · The paper itself

Abstract

introductionNon-Hodgkin Lymphoma (NHL) is a heterogeneous group of malignancies with over thirty different subtypes. Follicular lymphoma (FL) is the most common form of indolent NHL and the second most common form of NHL overall. It has morphologic, immunophenotypic and clinical features significantly different from other subtypes. Considerable effort has been devoted to the identification of risk factors for etiology and prognosis of FL. These risk factors may advance our understanding of the biology of FL and have an impact on clinical practice. AREAS COVERED: The epidemiology of NHL and FL is briefly reviewed. For FL etiology and prognosis separately, we review clinical, environmental and molecular (including genetic, genomic, epigenetic and others) risk factors suggested in the literature. EXPERT OPINION: A large number of potential risk factors have been suggested in recent studies. However, there is a lack of consensus, and many of the suggested risk factors have not been rigorously validated in independent studies. There is a need for large-scale, prospective studies to consolidate existing findings and discover new risk factors. Some of the identified risk factors are successful at the population level. More effective individual-level risk factors and models remain to be identified.

Identifiers

PMID22754588
PMCPMC3384553

What OpenQuestion holds

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Registered trials

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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.