Evidence map›Paper›PMID 41089019›Full record

ArticlePsychiatry investigation2025

The Impact of Psychiatric Interventions on Mortality in Patients With Alcohol-Related Diseases.

Dae-Hyun Jeong, Moo Eob Ann, Sang-Mi Kim, Ji-Hye Kim, Sang-Kyu Lee

Abstract read
In one paragraph

Article in Psychiatry investigation, 2025. 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
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.

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.

Dae-Hyun JeongGangwon Institute, Chuncheon, Republic of Korea.
Moo Eob AnnDepartment of Emergency Hallym University, Chuncheon Sacred Heart Hospital, Chuncheon, Republic of Korea.
Sang-Mi KimDepartment of AI Health Information Management, Yonsei University, Wonju, Republic of Korea.
Ji-Hye KimDepartment of Medicine, Graduate School, Hallym University, Chuncheon, Republic of Korea.
Sang-Kyu LeeDepartment of Psychiatry, Hallym University, Chuncheon Sacred Heart Hospital, Chuncheon, Republic of Korea.

Funding

Hallym UniversityKorea Health Industry Development Institute HI22C0707Korea Health Industry Development Institute RS-2022-KH125845Ministry of Education 2025-RISE-10-009
6 · The paper itself

Abstract

objectiveThis study aimed to examine the current status of psychiatric therapy and anti-craving prescriptions for patients with alcohol-related diseases and to evaluate the impact of these treatments on the prognosis of alcohol-related diseases for drawing implications.

methodsData were analyzed by combining data extracted from one hospital, data of the National Health Insurance Service, and the National Statistical Office mortality data. The rationale for utilizing an integrated data set was that a single dataset from a single hospital was insufficient for comprehending economic factors, mortality rates, and medical information.

resultsThe analysis yielded two principal conclusions. Firstly, concurrent administration of psychiatric therapy and anti-craving prescriptions was demonstrated to be an effective approach in the management of alcohol-related disorders. Secondly, the economic status of patients was found to influence outcomes of psychiatric pharmacotherapy.

conclusionThe integration of diverse alcohol-related data for management could facilitate the implementation of personalized prescriptions tailored to specific needs of each patient. This approach has the potential to reduce mortality rates and mitigate societal burdens associated with alcohol-related diseases.

Indexed as

AlcoholAnti-craving prescriptionsIntegrated dataPsychiatric therapy

Identifiers

PMID41089019
PMCPMC12646704

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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.