Evidence map›Paper›PMID 32309225›Full record

ArticleIranian journal of public health2020

Prediction Mortality Rate Due to the Road-Traffic Accidents in Kazakhstan.

Nurbek Igissinov, Alma Aubakirova, Galiya Orazova, Gulnur Akpolatova, Saltanat Urazova, Dinar Tarzhanova, Akmaral Zhantureyeva, Yerlan Kuandykov

Open access · goldAbstract read
In one paragraph

Article in Iranian journal of public health, 2020. 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
1.2field-weighted citation impact, top 21% of its field
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, 11 citations in OpenAlex.

  1. Article
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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

8 authors at 2 institutions in 1 country.

Nurbek IgissinovDepartment of Surgical Diseases № 2, Astana Medical University, Nur-Sultan, Kazakhstan.
Alma AubakirovaRepublican Center for Health Development, Nur-Sultan, Kazakhstan.
Galiya OrazovaDepartment of Public Health, Astana Medical University, Nur-Sultan, Kazakhstan.
Gulnur AkpolatovaDepartment of General and Clinical Pharmacology, Astana Medical University, Nur-Sultan, Kazakhstan.
Saltanat UrazovaDepartment of General Medical Practice №2, Astana Medical University, Nur-Sultan, Kazakhstan.
Dinar TarzhanovaDepartment of General and Clinical Pharmacology, Astana Medical University, Nur-Sultan, Kazakhstan.
Akmaral ZhantureyevaDepartment of General and Clinical Pharmacology, Astana Medical University, Nur-Sultan, Kazakhstan.
Yerlan KuandykovDepartment of Family Medicine, South Kazakhstan Medical Academy, Shymkent, Kazakhstan.
Astana Medical University · KZRepublican Center for Healthcare Development · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a result of the road traffic accidents 1.25 mln. of working-age people die each year on the roads. Frequency of the RTA is 11 times higher in our country than in Europe, that influence on demographic and economic situation in the republic. Creation of the math modeling and prediction of traffic mortality rate in Kazakhstan will allow to develop measure on its decrease.

methodsShort-term dotted prediction of population mortality level of Kazakhstan was used, in particular - methods of regressive analysis. General prognosis throughout the country up to 2021 was made on the basis of data for 1999-2018. The more relevant method for prediction is exponential function taking into account the features of mortality rate level trend.

resultsPrediction of traffic fatalities without division into the age-related groups for 2019 is 2132±181 case with a probability 2/3. Expected levels for 2020-2027 cases, for 2021-1927 cases.Annual mortality decrease rate according to the 0-19 age-related at an average is 6.4% among men and 5.8% among women, according to age group as a whole - by 6.2%; from 20 up to 64 age related group - 5.1 % on all population category; older 65 age -group is by 2.2 %, 3.7 % among men, 2.9% among women as a whole.

conclusionIn the foreseeable future the number of traffic deaths in Kazakhstan will tend to decrease at a slower pace. Mortality rates due to road traffic accidents among working-age men will be 3 times higher than women in this age group.

Indexed as

KazakhstanMortalityPredictionRoad-traffic accidents

Identifiers

PMID32309225
PMCPMC7152637
OpenAlexW3003695143

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.