Evidence map›Paper›PMID 27994280›Full record

ArticleBulletin of the World Health Organization2016

Quantifying cause-related mortality by weighting multiple causes of death.

Clara Piffaretti, Margarita Moreno-Betancur, Agathe Lamarche-Vadel, Grégoire Rey

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Reclassification and weighting of multiple causes of death: US death certificates 2003-2023.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

4 authors.

Clara PiffarettiCépiDc-Inserm, Epidemiology Centre on Medical Causes of Death, 80, rue du Général Leclerc, 94276 le Kremlin-Bicêtre, Cedex, France .
Margarita Moreno-BetancurClinical Epidemiology and Biostatistics Unit, Murdoch Childrens Research Institute, Melbourne, Australia .
Agathe Lamarche-VadelCépiDc-Inserm, Epidemiology Centre on Medical Causes of Death, 80, rue du Général Leclerc, 94276 le Kremlin-Bicêtre, Cedex, France .
Grégoire ReyCépiDc-Inserm, Epidemiology Centre on Medical Causes of Death, 80, rue du Général Leclerc, 94276 le Kremlin-Bicêtre, Cedex, France .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate a new approach to calculating cause-related standardized mortality rates that involves assigning weights to each cause of death reported on death certificates.

methodsWe derived cause-related standardized mortality rates from death certificate data for France in 2010 using: (i) the classic method, which considered only the underlying cause of death; and (ii) three novel multiple-cause-of-death weighting methods, which assigned weights to multiple causes of death mentioned on death certificates: the first two multiple-cause-of-death methods assigned non-zero weights to all causes mentioned and the third assigned non-zero weights to only the underlying cause and other contributing causes that were not part of the main morbid process. As the sum of the weights for each death certificate was 1, each death had an equal influence on mortality estimates and the total number of deaths was unchanged. Mortality rates derived using the different methods were compared.

findingsOn average, 3.4 causes per death were listed on each certificate. The standardized mortality rate calculated using the third multiple-cause-of-death weighting method was more than 20% higher than that calculated using the classic method for five disease categories: skin diseases, mental disorders, endocrine and nutritional diseases, blood diseases and genitourinary diseases. Moreover, this method highlighted the mortality burden associated with certain diseases in specific age groups.

conclusionA multiple-cause-of-death weighting approach to calculating cause-related standardized mortality rates from death certificate data identified conditions that contributed more to mortality than indicated by the classic method. This new approach holds promise for identifying underrecognized contributors to mortality.

Indexed as

Models, TheoreticalAdolescentAdultAgedAged, 80 and overAge DistributionCause of DeathChildChild, PreschoolComorbidityFemaleHumansInfantInfant, NewbornMaleMiddle Aged

Identifiers

PMID27994280
PMCPMC5153928

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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.