Evidence map›Paper›PMID 35524227›Full record

ArticleBMC public health2022

Accuracy of death certifications of diabetes, dementia and cancer in Australia: a population-based cohort study.

Zhiwei Xu, Richard Hockey, Paul McElwee, Michael Waller, Annette Dobson

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 25 citations in OpenAlex.

  1. Observational
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  5. Predicting Recurrence-Free and Overall Survival for Patients With Stage II Melanoma: The MIA Calculator.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
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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

5 authors at 2 institutions in 1 country.

Zhiwei XuSchool of Public Health, Faculty of Medicine, University of Queensland, 288 Herston Road, Brisbane, QLD, 4006, Australia.
Richard HockeySchool of Public Health, Faculty of Medicine, University of Queensland, 288 Herston Road, Brisbane, QLD, 4006, Australia.
Paul McElweeSchool of Public Health, Faculty of Medicine, University of Queensland, 288 Herston Road, Brisbane, QLD, 4006, Australia.
Michael WallerSchool of Public Health, Faculty of Medicine, University of Queensland, 288 Herston Road, Brisbane, QLD, 4006, Australia.
Annette DobsonSchool of Public Health, Faculty of Medicine, University of Queensland, 288 Herston Road, Brisbane, QLD, 4006, Australia. a.dobson@sph.uq.edu.au.
University of Queensland · AUQueensland Centre for Mental Health Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNational mortality statistics are only based on the underlying cause of death, which may considerably underestimate the effects of some chronic conditions.

methodsThe sensitivity, specificity, and positive and negative predictive values for diabetes (a common precursor to multimorbidity), dementia (a potential accelerant of death) and cancer (expected to be well-recorded) were calculated from death certificates for 9 056 women from the 1921-26 cohort of the Australian Longitudinal Study on Women's Health. Log binomial regression models were fitted to examine factors associated with the sensitivity of death certificates with these conditions as underlying or contributing causes of death.

resultsAmong women who had a record of each of these conditions in their lifetime, the sensitivity was 12.3% (95% confidence interval, 11.0%, 13.7%), 25.2% (23.7%, 26.7%) and 57.7% (55.9%, 59.5%) for diabetes, dementia and cancer, respectively, as the underlying cause of death, and 40.9% (38.8%, 42.9%), 52.3% (50.6%, 54.0%) and 67.1% (65.4%, 68.7%), respectively, if contributing causes of death were also taken into account. In all cases specificity (> 97%) and positive predictive value (> 91%) were high, and negative predictive value ranged from 69.6% to 84.6%. Sensitivity varied with age (in different directions for different conditions) but not consistently with the other sociodemographic factors.

conclusionsDeath rates associated with common conditions that occur in multimorbidity clusters in the elderly are underestimated in national mortality statistics, but would be improved if the multiple causes of death listed on a death certificate were taken into account in the statistics.

Indexed as

DementiaDiabetes MellitusNeoplasmsAgedAustraliaCause of DeathCohort StudiesDeath CertificatesFemaleHumansLongitudinal StudiesMaleCancerDeath certificationDementiaDiabetesMultimorbidity

Identifiers

PMID35524227
PMCPMC9074356
OpenAlexW4229055432

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.