Evidence map›Paper›PMID 35578620›Full record

ArticlePhenomics (Cham, Switzerland)2022

Biomarkers and Disease Trajectories Influencing Women's Health: Results from the UK Biobank Cohort.

Haomin Yang, Yudi Pawitan, Fang Fang, Kamila Czene, Weimin Ye

Open access · hybridAbstract read
In one paragraph

Article in Phenomics (Cham, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.0field-weighted citation impact, top 4% 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, 28 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Article
  5. Review
  6. Article
  7. Article
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  9. Article
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  13. Article
  14. Phenomic Studies on Diseases: Potential and Challenges.Phenomics (Cham, Switzerland) · 2023
    Review
  15. Women at heart: Introducing gender cardio-oncology.Frontiers in cardiovascular medicine · 2022
    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

5 authors at 2 institutions in 2 countries.

Haomin YangDepartment of Epidemiology and Health Statistics, School of Public Health and Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Xue Yuan Road 1, University Town, Fuzhou, 350122 China.ORCID 0000-0002-2252-2606
Yudi PawitanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden.
Fang FangInstitute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden.
Kamila CzeneDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden.
Weimin YeDepartment of Epidemiology and Health Statistics, School of Public Health and Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Xue Yuan Road 1, University Town, Fuzhou, 350122 China.
Karolinska Institutet · SEFujian Medical University · CN

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

Women's health is important for society. Despite the known biological and sex-related factors influencing the risk of diseases among women, the network of the full spectrum of diseases in women is underexplored. This study aimed to systematically examine the women-specific temporal pattern (trajectory) of the disease network, including the role of baseline physical examination indexes, and blood and urine biomarkers. In the UK Biobank study, 502,650 participants entered the cohort from 2006 to 2010, and were followed up until 2019 to identify disease incidence via linkage to the patient registers. For those diseases with increased risk among women, conditional logistic regression models were used to estimate odds ratios (ORs), and the binomial test of direction was further used to build disease trajectories. Among 301 diseases, 82 diseases in women had ORs > 1.2 and Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-022-00054-1.

Indexed as

BiomarkersDisease trajectoryPhenome wide association studyWomen health

Identifiers

PMID35578620
PMCPMC9096057
OpenAlexW4280598885

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.