Evidence map›Paper›PMID 32075798›Full record

ArticleCancer research2020

Circulating Immune Cell Composition and Cancer Risk: A Prospective Study Using Epigenetic Cell Count Measures.

Charlotte Le Cornet, Konstantin Schildknecht, Araceli Rossello Chornet, Renée T Fortner, Sandra González Maldonado, Verena A Katzke, Tilman Kühn, Theron Johnson, Sven Olek, Rudolf Kaaks

Open access · bronzeAbstract readComment
PubMed Publisher
In one paragraph

Article in Cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Charlotte Le CornetDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-5291-7545
Konstantin SchildknechtIvana Türbachova Laboratory for Epigenetics, Precision for Medicine Group, Epiontis GmbH, Berlin, Germany.
Araceli Rossello ChornetIvana Türbachova Laboratory for Epigenetics, Precision for Medicine Group, Epiontis GmbH, Berlin, Germany.
Renée T FortnerDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-1426-8505
Sandra González MaldonadoDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Verena A KatzkeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-6509-6555
Tilman KühnDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Theron JohnsonDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0003-4850-282X
Sven Olek *Ivana Türbachova Laboratory for Epigenetics, Precision for Medicine Group, Epiontis GmbH, Berlin, Germany.
Rudolf Kaaks *Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. r.kaaks@dkfz.de.
German Cancer Research Center · DEPrecision for Medicine (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although ample evidence indicates that immune cell homeostasis is an important prognostic outcome determinant in patients with cancer, few studies have examined whether it also determines cancer risk among initially healthy individuals. We performed a case-cohort study including incident cases of breast (

Indexed as

NeoplasmsT-Lymphocytes, RegulatoryCohort StudiesEpigenesis, GeneticHumansMaleProspective StudiesRisk Factors

Identifiers

PMID32075798
OpenAlexW3008456393

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.