Evidence map›Paper›PMID 39086425›Full record

ArticleIranian journal of public health2024

Assessment of the Quality of Cause-of-Death Data in Serbia for 2005-2019 Vital Statistics Performance Index Estimation.

Marija Anđelković Apostolović, Miodrag Stojanović, Dragan Bogdanović, Branislav Apostolović, Marija Topalović, Zoran Milošević, Roberta Marković, Aleksandra Ignjatović

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Iranian journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Mortality rates and causes of death after cardiac interventions: real-world short- and long-term insights from the Netherlands.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2026
    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

8 authors.

Marija Anđelković ApostolovićDepartment of Medical Statistics and Informatics, Medical Faculty University of Niš, Niš, Serbia.
Miodrag StojanovićDepartment of Medical Statistics and Informatics, Medical Faculty University of Niš, Niš, Serbia.
Dragan BogdanovićCenter for Informatics and Biostatistics in Health Care, Institute of Public Health Niš, Niš, Serbia.
Branislav ApostolovićDepartment of Nephrology, University Clinical Center Niš, Niš, Serbia.
Marija TopalovićDepartment of Pulmonology, University Clinical Center Niš, Niš, Serbia.
Zoran MiloševićDepartment of Medical Statistics and Informatics, Medical Faculty University of Niš, Niš, Serbia.
Roberta MarkovićDepartment of Medical Statistics and Informatics, Medical Faculty University of Niš, Niš, Serbia.
Aleksandra IgnjatovićDepartment of Medical Statistics and Informatics, Medical Faculty University of Niš, Niš, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aimed to evaluate the quality of the cause of death (COD) concerning mortality patterns and completeness of death registration to identify areas for improvement in Serbia. Methods: COD data collected from the mortality register in Serbia from 2005 to 2019 (1540615 deaths) were analyzed with the software Analysis of National Causes of Death for Action. The Vital Statistics Performance Index for Quality (VSPI(Q)) is estimated for the overall COD data quality. Results: The completeness of death certification was higher than 98%. Usable underlying COD was registered in 57%, 24.1% with an unusable and 18.6% with insufficiently specified COD. The VSPI(Q) was 67.2%, denoting medium quality. The typical error was using intermediate COD (24.7% of all deaths), while 13.2% and 8.5% of all garbage codes (GC) belonged to the Very High and High Severity classes. The leading underlying COD is unspecified cardiomyopathy. The analysis revealed that 39.1% of GC has been redistributed to non-communicable diseases, 2.5% to external causes and 1.1% to communicable diseases. Conclusion: In the 15 years' worth of data analyzed, the true underlying COD, in many cases, was ill-defined, indicating that COD data at the national level could be distorted. The additional and continuous professional education of medical students as well as physicians is needed. It should focus on the most common GC among the leading COD and acquiring skills in certifying external causes of death.

Indexed as

Cause of deathData qualityGarbage codesSerbiaVital statistics performance index for quality

Identifiers

PMID39086425
PMCPMC11287600

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.