Evidence map›Paper›PMID 31050639›Full record

ArticleThe Permanente journal2019

Temporal Trends in Mortality Rates among Kaiser Permanente Southern California Health Plan Enrollees, 2001-2016.

Wansu Chen, Janis Yao, Zhi Liang, Fagen Xie, Don McCarthy, Lee Mingsum, Kristi Reynolds, Corinne Koebnick, Steven Jacobsen

Abstract read
In one paragraph

Article in The Permanente journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Observational
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  9. Machine learning versus regression for prediction of sporadic pancreatic cancer.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2023
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  12. Observational
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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

9 authors.

Wansu ChenKaiser Permanente Southern California Research and Evaluation, Pasadena.
Janis YaoKaiser Permanente Southern California Research and Evaluation, Pasadena.
Zhi LiangKaiser Permanente Southern California Research and Evaluation, Pasadena.
Fagen XieKaiser Permanente Southern California Research and Evaluation, Pasadena.
Don McCarthyKaiser Permanente Southern California Research and Evaluation, Pasadena.
Lee MingsumDepartment of Cardiology, Sunset Medical Center, Los Angeles, CA.
Kristi ReynoldsKaiser Permanente Southern California Research and Evaluation, Pasadena.
Corinne KoebnickKaiser Permanente Southern California Research and Evaluation, Pasadena.
Steven JacobsenKaiser Permanente Southern California Research and Evaluation, Pasadena.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTemporal analyses of death rates in the US have found a decreasing trend in all-cause and major cause-specific mortality rates.

objectivesTo determine mortality trends in Kaiser Permanente Southern California (KPSC), a large insured population, and whether they differ from those of California and the US.

methodsTrends in age-adjusted all-cause and cause-specific mortality rates from 2001 to 2016 were determined using data collected in KPSC and those derived through linkage with California State death files and were compared with trends in the US and California. Trends of race/ethnicity-specific all-cause and cause-specific mortality rates were also examined. Average annual percent changes (AAPC) and 95% confidence intervals (CI) were calculated.

resultsFrom 2001 to 2016, the age-adjusted all-cause mortality rate per 100,000 person-years decreased significantly in KPSC (AAPC = -1.84, 95% CI = -2.95 to -0.71), California (AAPC = -1.60, 95% CI = -2.51 to -0.69) and the US (AAPC = -1.10, 95% CI = -1.78 to -0.42). Rates of 2 major causes of death, cancer and heart disease, also decreased significantly in the 3 populations. Differences in trends of age-adjusted all-cause mortality rates and the top 10 cause-specific mortality rates between KPSC and California or the US were not statistically significant at the 95% level. No significant difference was found in the trends of race/ethnicity-specific, sex-specific, or race/ethnicity- and sex-specific all-cause mortality rates between KPSC and California or the US.

conclusionTrends in age-adjusted mortality rates in this insured population were comparable to those of the US and California.

Indexed as

MortalityAdolescentAdultAgedAged, 80 and overAge FactorsCaliforniaCause of DeathChildChild, PreschoolDelivery of Health Care, IntegratedFemaleHumansInfantInfant, NewbornMale

Identifiers

PMID31050639
PMCPMC6499114

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.