Evidence map›Paper›PMID 27754925›Full record

ArticleJournal of the National Cancer Institute2017

The Association of Dyslipidemia With Chronic Lymphocytic Leukemia: A Population-Based Study.

Lee Mozessohn, Craig Earle, David Spaner, Stephanie Y Cheng, Matthew Kumar, Rena Buckstein

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Journal of the National Cancer Institute, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Lee MozessohnAffiliations of authors: Division of Hematology/Medical Oncology (LM, CCE, DS, RB) and Division of Molecular and Cellular Biology (DS), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada (CCE, SYC, MK); Ontario Institute for Cancer Research, Toronto, Ontario, Canada (CCE).
Craig EarleAffiliations of authors: Division of Hematology/Medical Oncology (LM, CCE, DS, RB) and Division of Molecular and Cellular Biology (DS), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada (CCE, SYC, MK); Ontario Institute for Cancer Research, Toronto, Ontario, Canada (CCE).
David SpanerAffiliations of authors: Division of Hematology/Medical Oncology (LM, CCE, DS, RB) and Division of Molecular and Cellular Biology (DS), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada (CCE, SYC, MK); Ontario Institute for Cancer Research, Toronto, Ontario, Canada (CCE).
Stephanie Y ChengAffiliations of authors: Division of Hematology/Medical Oncology (LM, CCE, DS, RB) and Division of Molecular and Cellular Biology (DS), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada (CCE, SYC, MK); Ontario Institute for Cancer Research, Toronto, Ontario, Canada (CCE).
Matthew KumarAffiliations of authors: Division of Hematology/Medical Oncology (LM, CCE, DS, RB) and Division of Molecular and Cellular Biology (DS), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada (CCE, SYC, MK); Ontario Institute for Cancer Research, Toronto, Ontario, Canada (CCE).
Rena BucksteinAffiliations of authors: Division of Hematology/Medical Oncology (LM, CCE, DS, RB) and Division of Molecular and Cellular Biology (DS), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada (CCE, SYC, MK); Ontario Institute for Cancer Research, Toronto, Ontario, Canada (CCE).
Sunnybrook Health Science Centre · CAUniversity of Toronto · CAHealth Sciences Centre · CAInstitute for Clinical Evaluative Sciences · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic syndrome (MetS) is a risk factor for development of cancer. Because aberrant lipid metabolism is a pathogenic feature of chronic lymphocytic leukemia (CLL), our objective was to determine if CLL patients have a higher prevalence of MetS preceding diagnosis and to determine the impact of lipid-lowering medications on survival. Methods: We conducted a population-based case-control study in Ontario, Canada, using administrative databases of adults age 66 years and older to compare the prevalence of MetS preceding CLL with age- and sex-matched control subjects. Logistic regression was used to study the association between MetS and its components to CLL. The Kaplan-Meier method and Cox Regression were used to investigate survival. All statistical tests were two-sided. Results: We identified 2124 persons with CLL and 7935 control subjects from January 1, 2000, to December 31, 2005, with follow-up until March 31, 2014, three years from the date of last contact with the health care system, or death. The mean age was 75.6 years, 20.2% had diabetes, 35.8% had hypertension, and 17.6% had dyslipidemia. In multivariable analysis, dyslipidemia (odds ratio [OR] = 1.26, 95% confidence interval [CI] = 1.11 to 1.44, P < .001) and hypertension (OR = 1.12, 95% CI = 1.01 to 1.25, P = .03) were associated with the development of CLL, whereas MetS and diabetes were not. Lipid-lowering medication was associated with a statistically significant improved survival in patients with CLL (HR = 0.53, 95% CI = 0.47 to 0.61, P < .001). Conclusions: We demonstrate a higher prevalence of dyslipidemia preceding a diagnosis of CLL compared with control subjects, supporting preclinical data. Lipid-lowering medications appear to confer a survival advantage in CLL. Prospective studies are needed to confirm these results and test their potential as therapeutic applications.

Indexed as

AgedCase-Control StudiesCohort StudiesDyslipidemiasFemaleHumansHypertensionKaplan-Meier EstimateLeukemia, Lymphocytic, Chronic, B-CellMaleMetabolic SyndromeMiddle AgedMultivariate AnalysisOdds RatioOntarioPrevalence

Identifiers

PMID27754925
OpenAlexW2536558537

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.