Evidence map›Paper›PMID 26422532›Full record

ArticleLeukemia & lymphoma2016

Risk of multiple myeloma in a case-spouse study.

Gabriella Andreotti, Michael Katz, Antje Hoering, Brian Van Ness, John Crowley, Gareth Morgan, Robert N Hoover, Dalsu Baris, Brian Durie

Abstract read
In one paragraph

Article in Leukemia & lymphoma, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Targeting the Isoprenoid Biosynthetic Pathway in Multiple Myeloma.International journal of molecular sciences · 2022
    Review
  3. Article
  4. 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

9 authors at 7 institutions in 2 countries.

Gabriella Andreottia Division of Cancer Epidemiology and Genetics , National Cancer Institute, NIH, DHHS , Rockville , MD , USA ;
Michael Katzb International Myeloma Foundation , Hollywood , CA , USA ;
Antje Hoeringc Cancer Research and Biostatistics , Seattle , WA , USA ;
Brian Van Nessd Cancer Center, University of Minnesota , Minneapolis , MN , USA ;
John Crowleyc Cancer Research and Biostatistics , Seattle , WA , USA ;
Gareth Morgane Haemato-Oncology, Institute of Cancer Research , Sutton , UK ;
Robert N Hoovera Division of Cancer Epidemiology and Genetics , National Cancer Institute, NIH, DHHS , Rockville , MD , USA ;
Dalsu Barisa Division of Cancer Epidemiology and Genetics , National Cancer Institute, NIH, DHHS , Rockville , MD , USA ;
Brian Durieb International Myeloma Foundation , Hollywood , CA , USA ;
Cancer Research And Biostatistics · USNational Cancer Institute · USCedars-Sinai Medical Center · USDivision of Cancer Epidemiology and GeneticsInstitute of Cancer Research · GBInternational Myeloma Foundation · USUniversity of Minnesota · US

Funding

Cancer Risk in Human PopulationsZIACP010136 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI PURDUE, MARK · 2009 to 2025
$36.7M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

This study examined lifestyle, occupation, medical history and medication use with multiple myeloma risk in a case-spouse study (481 patients, 351 spouses). Odds ratios (ORs) and 95% confidence intervals (CI) were calculated using logistic regression. Compared to spouse controls, cases were more likely to have a family history of multiple myeloma (OR = 2.8, 95% CI = 1.2-6.4) and smoked cigarettes (OR = 1.7, 95% CI = 1.2-2.5), but less likely to have consumed alcohol (OR = 0.6, 95% CI = 0.4-0.9). Nurse/health practitioners (OR = 2.8, 95% CI = 1.3-6.2) and production workers (OR = 3.7, 95% CI = 1.0-13.7) had significantly increased risks; and some occupations linked to diesel exhaust had elevated, but non-significant, risks. History of herpes simplex (OR = 1.7, 95% CI = 1.2-2.4), shingles (OR = 1.7, 95% CI = 1.1-2.7), sexually transmitted diseases (OR = 2.0, 95% CI = 1.0-3.7) and medication allergies (OR = 1.7, 95% CI = 1.2-2.4) were associated with higher risks. Use of angiotensin-converting enzyme inhibitors, anti-convulsants, antidepressants, statins and diuretics were associated with reduced risks. The results are consistent with previous population-based studies and support the utility of patient databanks and spouse controls as a resource in epidemiologic research.

Indexed as

SpousesAdultAgedAged, 80 and overCase-Control StudiesComorbidityDrug-Related Side Effects and Adverse ReactionsFemaleHumansMaleMiddle AgedMultiple MyelomaOccupational ExposureOccupationsOdds RatioRiskcase–spouseepidemiologyMyeloma

Identifiers

PMID26422532
PMCPMC6497084
OpenAlexW2175983386

What OpenQuestion holds

Textmetadata
LicenceTDM
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.