Evidence map›Paper›PMID 38238005›Full record

ArticleThorax2024

Phenotypic and genetically predicted leucocyte telomere length and lung cancer risk in the prospective UK Biobank.

Jason Yy Wong, Batel Blechter, Aubrey K Hubbard, Mitchell J Machiela, Jianxin Shi, Shahinaz M Gadalla, Wei Hu, Mohammad L Rahman, Nathaniel Rothman, Qing Lan

Open access · hybridAbstract read
In one paragraph

Article in Thorax, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  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

10 authors at 2 institutions in 1 country.

Jason Yy WongEpidemiology and Community Health Branch, National Heart Lung and Blood Institute, Bethesda, Maryland, USA jason.wong@nih.gov.ORCID 0009-0007-3690-1168
Batel BlechterDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Aubrey K HubbardDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Mitchell J MachielaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Jianxin ShiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Shahinaz M GadallaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Wei HuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Mohammad L RahmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.ORCID 0000-0001-8322-0495
Nathaniel RothmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Qing LanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
National Cancer Institute · USNational Heart Lung and Blood Institute · US

Funding

Studies of Occupational CancerZIACP010120 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI LAN, QING · 2009 to 2025
$34.4M
Intramural NIH HHS ZIA CP010120
6 · The paper itself

Abstract

We investigated phenotypic leucocyte telomere length (LTL), genetically predicted LTL (gTL), and lung cancer risk among 371 890 participants, including 2829 incident cases, from the UK Biobank. Using multivariable Cox regression, we found dose-response relationships between longer phenotypic LTL (p-trend

Indexed as

AdenocarcinomaLung NeoplasmsBiological Specimen BanksHumansLeukocytesProspective StudiesTelomereTelomere HomeostasisUK BiobankLung Cancer

Identifiers

PMID38238005
PMCPMC10923134
OpenAlexW4391011625

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.