Evidence map›Paper›PMID 26096699›Full record

ArticleJournal of the American Geriatrics Society2015

Differences in Health at Age 100 According to Sex: Population-Based Cohort Study of Centenarians Using Electronic Health Records.

Nisha C Hazra, Alex Dregan, Stephen Jackson, Martin C Gulliford

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
8.1field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Delirium among older adults living at home: a systematic review of prevalence, incidence, and risk factors.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Machine learning prediction of survival in centenarians after age 100: a retrospective, population-based cohort study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. The landscape of aging.Science China. Life sciences · 2022
    Review
  12. Multimorbidity Clusters in the Oldest Old: Results from the EpiChron Cohort.International journal of environmental research and public health · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Sex Differences in Comorbidity and Frailty in Europe.International journal of public health · 2019
    Article
  20. Observational
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

4 authors at 3 institutions in 1 country.

Nisha C HazraDepartment of Primary Care and Public Health Sciences, King's College London, London, UK.
Alex DreganDepartment of Primary Care and Public Health Sciences, King's College London, London, UK.
Stephen JacksonDepartment of Clinical Gerontology, King's College Hospital, London, UK.
Martin C GullifordDepartment of Primary Care and Public Health Sciences, King's College London, London, UK.
National Institute for Health Research · GBKing's College Hospital · GBKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo use primary care electronic health records (EHRs) to evaluate the health of men and women at age 100.

designPopulation-based cohort study.

settingPrimary care database in the United Kingdom, 1990-2013.

participantsIndividuals reaching the age of 100 between 1990 and 2013 (N = 11,084, n = 8,982 women, n = 2,102 men). MEASUREMENTS: Main categories of morbidity and an index of multiple morbidities, geriatric syndromes and an index of multiple impairments, cardiovascular risk factors.

resultsThe number of new female centenarians per year increased from 16 per 100,000 in 1990-94 to 25 per 100,000 in 2010-13 (P < .001) and of male centenarians from four per 100,000 to six per 100,000 (P = .06). The most prevalent morbidities at the age of 100 were musculoskeletal diseases, disorders of the senses, and digestive diseases. Women had greater multiple morbidity than men (odds ratio (OR) = 1.64, 95% confidence interval (CI) = 1.42-1.89, P < .001). Geriatric syndromes, including falls, fractures, hearing and vision impairment, and dementia, were frequent; 30% of women and 49% of men had no recorded geriatric syndromes. Women had greater likelihood of having multiple geriatric syndromes (OR = 2.14, 95% CI = 1.90-2.41, P < .001).

conclusionFewer men than women reach the age of 100, but male centenarians have lower morbidity and fewer geriatric syndromes than women. Research using EHRs offers opportunities to understand the epidemiology of aging and improve care of the oldest old.

Indexed as

Electronic Health RecordsHealth Status IndicatorsAged, 80 and overFemaleGeriatric AssessmentHumansLongitudinal StudiesMalePrevalenceRisk FactorsUnited Kingdomagingcentenariansepidemiologygeneral practiceprimary care

Identifiers

PMID26096699
PMCPMC4745036
OpenAlexW1585373680

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.