Evidence map›Paper›PMID 32299486›Full record

ArticleBMC research notes2020

Assessing two methods for estimating excess mortality of chronic diseases from aggregated data.

Ralph Brinks, Thaddäus Tönnies, Annika Hoyer

Abstract readEvaluation Study
In one paragraph

Article in BMC research notes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Mortality attributable to diabetes in Cuba: Estimates for 2019.Public health in practice (Oxford, England) · 2024
    Article
  2. Article
  3. 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

3 authors.

Ralph BrinksInstitute for Biometry and Epidemiology, German Diabetes Center, Auf'm Hennekamp 65, 40225, Duesseldorf, Germany. ralph.brinks@ddz.de.
Thaddäus TönniesInstitute for Biometry and Epidemiology, German Diabetes Center, Auf'm Hennekamp 65, 40225, Duesseldorf, Germany.
Annika HoyerInstitute for Biometry and Epidemiology, German Diabetes Center, Auf'm Hennekamp 65, 40225, Duesseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the numerical properties of two recently published estimation techniques for excess mortality based on aggregated data about diabetes in Germany.

resultsApplication of the new methods to the claims data yields implausible findings for the excess mortality of type 2 diabetes in ages below 50 years of age.

Indexed as

Epidemiologic MethodsMortalityAdolescentAdultAgedAged, 80 and overChronic DiseaseDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedYoung AdultChronic disease epidemiologyDementiaDiabetesIncidenceMulti-state modelPartial differential equationPrevalence

Identifiers

PMID32299486
PMCPMC7161167

What OpenQuestion holds

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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.