Evidence map›Paper›PMID 34584398›Full record

ArticleStudies on Russian economic development2021

Predicting Mortality by Causes in the Republic of Bashkortostan Using the Lee-Carter Model.

I A Lakman, R A Askarov, V B Prudnikov, Z F Askarova, V M Timiryanova

Open access · bronzeAbstract read
In one paragraph

Article in Studies on Russian economic development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 77% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

I A LakmanBashkir State University, 450076 Ufa, Russia.
R A AskarovOrdzhonikidze Russian State Geological Prospecting University, 117485 Moscow, Russia.
V B PrudnikovBashkir State University, 450076 Ufa, Russia.
Z F AskarovaBashkir State University, 450076 Ufa, Russia.
V M TimiryanovaBashkir State University, 450076 Ufa, Russia.
Bashkir State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper analyzes and predicts age-sex mortality rates by causes in the Republic of Bashkortostan. The following methods of analysis were used: the Lee-Carter model, singular value decomposition, and ARIMA-modeling. The forecast results suggest that by 2025 the Republic of Bashkortostan will have lower mortality due to malignant neoplasms in all age groups, except for the 70+ group for women and 50+ age groups for men; lower mortality due to diseases of the circulatory system in all age groups for men and higher mortality in 45+ age groups for women; lower mortality due to injuries in all age groups for both sexes; no significant changes in mortality due to respiratory diseases; increased mortality from gastrointestinal diseases for both sexes at all ages, except for children; higher mortality due to infections at 20-54 for men and 20-64 for women; and almost half lower mortality from infections in the age group of 0-4 years for both sexes.

Indexed as

ARIMAforecastLee–Carter modelpopulation mortality by causes

Identifiers

PMID34584398
PMCPMC8460060
OpenAlexW3202762202

What OpenQuestion holds

Textmetadata
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.