Evidence map›Paper›PMID 40962848›Full record

ArticleBritish journal of cancer2025

Serum lipid levels and risk of lymphoid malignancies in the UK Biobank study.

Sara Hermosa, Yolanda Benavente, Elena Cabezudo, Juan Sainz, Marta Farràs, Laia Alemany, Brenda M Birmann, Delphine Casabonne

Abstract read
In one paragraph

Article in British journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Sara HermosaUnit of Infections and Cancer, Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, l'Hospitalet de Llobregat, Spain.
Yolanda BenaventeUnit of Infections and Cancer, Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, l'Hospitalet de Llobregat, Spain.
Elena CabezudoHaematology, Catalan Institute of Oncology, l'Hospitalet de Llobregat, Spain.
Juan SainzCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.ORCID http://orcid.org/0000-0002-9355-2423
Marta FarràsUnit of Nutrition and Cancer, Catalan Institute of Oncology-ICO, L'Hospitalet de Llobregat, Barcelona, Spain.
Laia AlemanyUnit of Infections and Cancer, Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, l'Hospitalet de Llobregat, Spain.
Brenda M BirmannChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-7550-5498
Delphine CasabonneUnit of Infections and Cancer, Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, l'Hospitalet de Llobregat, Spain. dcasabonne@iconcologia.net.ORCID http://orcid.org/0000-0002-7874-3707

Funding

Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) CIBERESP - CB06/02/0073Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) PFIS FI21/00090Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) PI20/00288Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) PI20/01845
6 · The paper itself

Abstract

backgroundAbnormal circulating lipid levels have been suggested in relation to lymphoid malignancy (LM) risk.

methodsWe studied UK Biobank participants (n = 403,625) with serum data for cholesterol (total [TC], high-density lipoprotein [HDL], direct low-density lipoprotein [LDL]), triglycerides (TG), and apolipoproteins A1 and B (ApoA1, ApoB). We conducted principal component (PC) analysis and multivariate Cox regression models to estimate hazard ratio (HR) overall, by lipid-lowering drug use and follow-up interval.

resultsDuring an average of 10.5 years of follow-up, 3006 incident LMs occurred (including 667 multiple myelomas [MM], 2193 non-Hodgkin lymphomas [NHL]). Among medication non-users, most lipid levels were inversely associated with risk of most endpoints (HR

conclusionLipid depletion closer to LM diagnosis might reflect cancer cell metabolism and warrants further work examining individuals with precursor conditions. The MM-specific long-term risk might reflect the known MM-obesity association.

Indexed as

LipidsLymphomaLymphoma, Non-HodgkinMultiple MyelomaAdultAgedApolipoprotein A-IApolipoproteins BBiological Specimen BanksFemaleFollow-Up StudiesHumansMaleMiddle AgedRisk FactorsTriglyceridesApolipoprotein A-IApolipoproteins BLipidsTriglycerides

Identifiers

PMID40962848
PMCPMC12644572

What Socratic 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 Socratic graph.