Evidence map›Paper›PMID 35401414›Full record

ArticleFrontiers in neurology2022

Increased Risk of Major Depressive Disorder Following Tinnitus: A Population-Based Study.

Herng-Ching Lin, Sudha Xirasagar, Chia-Hui Wang, Yen-Fu Cheng, Tzong-Hann Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Influence ofFrontiers in genetics · 2023
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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

5 authors at 4 institutions in 2 countries.

Herng-Ching LinSleep Research Center, Taipei Medical University Hospital, Taipei, Taiwan.
Sudha XirasagarDepartment of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Chia-Hui WangDepartment of Urban Development, University of Taipei, Taipei, Taiwan.
Yen-Fu ChengResearch Center of Sleep Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Tzong-Hann YangResearch Center of Sleep Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
National Yang Ming Chiao Tung University · TWTaipei Medical University · TWTaipei Medical University Hospital · TWUniversity of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: In this study, we aimed to evaluate the relationship between tinnitus and a subsequent diagnosis of major depressive disorder (MDD) by studying the incidence of both entities. Design: A retrospective cohort study. Methods: Data for this observational follow-up study were retrieved from the Taiwan's National Health Insurance Dataset. A total of 375,272 patients with newly diagnosed tinnitus (study group) were retrieved. The date of first diagnosis of tinnitus was assigned as their index date. Comparison patients were selected by propensity score matching (one per case, Results: We found that the overall incidence rate for MDD was 0.78 (95% CI = 0.76~0.80) per 100 person-years, being 1.17 (95% CI = 1.14~1.21) among the study cohorts and 0.38 (95% CI = 0.36~0.40) among the comparison cohorts. The log-rank test revealed that the patients in the study cohort had significantly lower one-year MDD-free survival when compared to the comparison cohort ( Conclusions: In this study, we demonstrate that tinnitus is associated with an increased hazard of subsequent MDD in Taiwan.

Indexed as

depressionepidemiologyneuro-otologyotologytinnitus

Identifiers

PMID35401414
PMCPMC8992000
OpenAlexW4220701002

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.