Evidence map›Paper›PMID 34815998›Full record

ArticleSSM - population health2021

Patterns of suicide deaths in Hungary between 1995 and 2017.

Tamás Lantos, Richard J Q McNally, Tibor András Nyári

Abstract read
In one paragraph

Article in SSM - population health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  5. Article
  6. Differences of chronological seasonality in drug overdose.The Journal of international medical research · 2023
    Article
  7. 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.

Tamás LantosDepartment of Medical Physics and Informatics, Faculty of Medicine, University of Szeged, 9 Korányi Alley, 6720, Szeged, Hungary.
Richard J Q McNallyPopulation Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Royal Victoria Infirmary, Queen Victoria Road, Newcastle Upon Tyne, NE1 4LP, England, United Kingdom.
Tibor András NyáriDepartment of Medical Physics and Informatics, Faculty of Medicine, University of Szeged, 9 Korányi Alley, 6720, Szeged, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hungary has had one of the highest suicide mortality rates in the world for decades. Investigating seasonality of suicide deaths is essential as its findings could be key elements in the prevention. In our study we have analyzed the seasonal effect in suicide mortality in relation to possible risk factors in Hungary during 1995-2017. Data on the numbers of suicide deaths were obtained from a published online database. Negative binomial regression was employed to investigate the effect of possible risk factors and seasonal and annual trends in suicide rates. The seasonal effect was further investigated, adding a significant risk factor from the "initial" negative binomial regression. The suicide risk was significantly (

Indexed as

EpidemiologyHungaryRisk factorsSeasonal variationSuicide methodsSuicide mortality

Identifiers

PMID34815998
PMCPMC8592871

What OpenQuestion holds

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Registered trials

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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.