Evidence map›Paper›PMID 39342208›Full record

ArticleBMC medical informatics and decision making2024

Identifying the most critical side effects of antidepressant drugs: a new model proposal with quantum spherical fuzzy M-SWARA and DEMATEL techniques.

Gökhan Silahtaroğlu, Hasan Dinçer, Serhat Yüksel, Abdurrahman Keskin, Nevin Yılmaztürk, Alperen Kılıç

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Gökhan SilahtaroğluThe School of Business, İstanbul Medipol University, İstanbul, Turkey.
Hasan DinçerThe School of Business, İstanbul Medipol University, İstanbul, Turkey.
Serhat YükselThe School of Business, İstanbul Medipol University, İstanbul, Turkey.
Abdurrahman KeskinResearch and Development Centre, Pusula Enterprise Business Solutions, İstanbul, Turkey. abdurrahman.keskin@pusulayazilim.com.tr.
Nevin YılmaztürkResearch and Development Centre, Pusula Enterprise Business Solutions, İstanbul, Turkey.
Alperen KılıçDepartment of Psychiatry, Istanbul University-Cerrahpasa Faculty of Medicine, İstanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying and managing the most critical side effects encourages patients to take medications regularly and adhere to the course of treatment. Therefore, priority should be given to the more important ones, among these side effects. However, the number of studies that make a priority examination is limited. There is a need for a new study that determines which of these effects are more priority to increase the quality of the treatment. Accordingly, this study aims to define the most important side effects of antidepressant drugs with a novel model. Quantum Spherical fuzzy M-SWARA technique is considered to compute the importance weights of the items. The main contribution of this study is that the most critical side effects can be understood for antidepressant drugs by establishing a novel decision-making model. The findings demonstrate that psychological side effects are defined as the most critical side effects of antidepressant drugs. Furthermore, physical side effects also play a key role in this condition. Side effects in antidepressant treatment have a great impact on the effectiveness of treatment and patient compliance.

Indexed as

Antidepressive AgentsFuzzy LogicDrug-Related Side Effects and Adverse ReactionsHumansAntidepressive AgentsAntidepressant drugsCorrect drug useFuzzy logicMulti-criteria decision makingSide effect

Identifiers

PMID39342208
PMCPMC11438092

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.