Evidence map›Paper›PMID 31395603›Full record

ArticleBlood2019

Analysis of 153 115 patients with hematological malignancies refines the spectrum of familial risk.

Amit Sud, Subhayan Chattopadhyay, Hauke Thomsen, Kristina Sundquist, Jan Sundquist, Richard S Houlston, Kari Hemminki

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
10.2field-weighted citation impact, top 1% 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

39 citing papers in PubMed, 72 citations in OpenAlex.

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  12. Clinical Risks for Chronic Lymphocytic Leukemia.Journal of the National Comprehensive Cancer Network : JNCCN · 2024
    Review
  13. Therapeutic Vaccines for Follicular Lymphoma: A Systematic Review.Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  14. Review
  15. Rare GermlineJournal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Article
  16. Article
  17. Genetic lesions and targeted therapy in Hodgkin lymphoma.Therapeutic advances in hematology · 2023
    Review
  18. Role of Germline Predisposition to Therapy-Related Myeloid Neoplasms.Current hematologic malignancy reports · 2022
    Review
  19. Article
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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

7 authors at 3 institutions in 5 countries.

Amit SudDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom.ORCID 0000-0002-6133-0164
Subhayan ChattopadhyayDivision of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany.ORCID 0000-0002-8599-2971
Hauke ThomsenDivision of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany.ORCID 0000-0001-5951-3116
Kristina SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Jan SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom.ORCID 0000-0002-5268-0242
Kari HemminkiDivision of Molecular Genetic Epidemiology, German Cancer Research Centre, Heidelberg, Germany.
German Cancer Research Center · DEInstitute of Cancer Research · GBShimane University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating familial cancer risks is clinically important in being able to discriminate between individuals in the population at differing risk for malignancy. To gain insight into the familial risk for the different hematological malignancies and their possible inter-relationship, we analyzed data on more than 16 million individuals from the Swedish Family-Cancer Database. After identifying 153 115 patients diagnosed with a primary hematological malignancy, we quantified familial relative risks (FRRs) by calculating standardized incident ratios (SIRs) in 391 131 of their first-degree relatives. The majority of hematological malignancies showed increased FRRs for the same tumor type, with the highest FRRs being observed for mixed cellularity Hodgkin lymphoma (SIR, 16.7), lymphoplasmacytic lymphoma (SIR, 15.8), and mantle cell lymphoma (SIR, 13.3). There was evidence for pleiotropic relationships; notably, chronic lymphocytic leukemia was associated with an elevated familial risk for other B-cell tumors and myeloproliferative neoplasms. Collectively, these data provide evidence for shared etiological factors for many hematological malignancies and provide information for identifying individuals at increased risk, as well as informing future gene discovery initiatives.

Indexed as

FamilyAdultChildDatabases, FactualFemaleGenetic Predisposition to DiseaseHematologic NeoplasmsHumansMaleRegistriesRisk FactorsSweden

Identifiers

PMID31395603
PMCPMC6789511
OpenAlexW2953957281

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.