Evidence map›Paper›PMID 38569678›Full record

ArticleBMJ open2024

Descriptive study of causes of death and COVID-19-associated morbidities from the New York City electronic death record: first wave of the pandemic March-July 2020.

Gil Maduro, Wenhui Li, Mary Huynh, Blanca Bernard-Davila, L Hannah Gould, Gretchen Van Wye

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Gil MaduroBureau of Vital Statistics, New York City Department of Health and Mental Hygiene, New York, New York, USA gmaduro@health.nyc.gov.ORCID 0000-0003-1746-578X
Wenhui LiBureau of Vital Statistics, New York City Department of Health and Mental Hygiene, New York, New York, USA.ORCID 0000-0002-7884-7637
Mary HuynhInstitute for State and Local Governance, City University of New York, New York, New York, USA.
Blanca Bernard-DavilaBureau of Vital Statistics, New York City Department of Health and Mental Hygiene, New York, New York, USA.
L Hannah GouldBureau of Epidemiologic Services, New York City Department of Health and Mental Hygiene, New York, New York, USA.
Gretchen Van WyeAssistant Commissioner, Bureau of Vital Statistics, Division of Epidemiology, New York City Department of Health and Mental Hygiene, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAssessing excess deaths from benchmarks across causes of death during the first wave of the COVID-19 pandemic and identifying morbidities most frequently mentioned alongside COVID-19 deaths in the death record.

methodsDescriptive study of death records between 11 March 2020 and 27 July 2020, from the New York City Bureau of Vital Statistics. Mortality counts and percentages were compared with the average for the same calendar period of the previous 2 years. Distributions of morbidities from among forty categories of conditions were generated citywide and by sex, race/ethnicity and four age groups. Causes of death were assumed to follow Poisson processes for Z-score construction.

resultsWithin the study period, 46 563 all-cause deaths were reported; 132.9% higher than the average for the same period of the previous 2 years (19 989). Of those 46 563 records, 19 789 (42.5%) report COVID-19 as underlying cause of death. COVID-19 was the most prevalent cause across all demographics, with respiratory conditions (prominently pneumonia), hypertension and diabetes frequently mentioned morbidities. Black non-Hispanics had greater proportions of mentions of pneumonia, hypertension, and diabetes. Hispanics had the largest proportion of COVID-19 deaths (52.9%). Non-COVID-19 excess deaths relative to the previous 2-year averages were widely reported.

conclusionMortality directly due to COVID-19 was accompanied by significant increases across most other causes from their reference averages, potentially suggesting a sizable COVID-19 death undercount. Indirect effects due to COVID-19 may partially account for some increases, but findings are hardly dispositive. Unavailability of vaccines for the time period precludes any impact over excess deaths. Respiratory and cardiometabolic-related conditions were most frequently reported among COVID-19 deaths across demographic characteristics.

Indexed as

COVID-19Diabetes MellitusHypertensionPneumoniaCause of DeathDeath CertificatesHumansMorbidityNew York CityPandemicsCOVID-19EPIDEMIOLOGYMortalityPUBLIC HEALTH

Identifiers

PMID38569678
PMCPMC11146393

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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.