Evidence map›Paper›PMID 27603358›Full record

Observational studyMedicine2016

Effects of depression and antidepressant medications on hip fracture: A population-based cohort study in Taiwan.

Bi-Hua Cheng, Pau-Chung Chen, Yao-Hsu Yang, Chuan-Pin Lee, Ko-En Huang, Vincent C Chen

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 5 pooled it
–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

18 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Depression and risk of hip fracture: a systematic review and meta-analysis of cohort studies.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2019
    Pooled it
  4. Pooled it
  5. Depression and risk of fracture and bone loss: an updated meta-analysis of prospective studies.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018
    Pooled it
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  16. Severe hypoglycemia and hip fracture in patients with type 2 diabetes: a nationwide population-based cohort study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2017
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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

6 authors.

Bi-Hua ChengDepartment of Obstetrics and Gynecology, Chang Gung Memorial Hospital, Chiayi Institute of Occupational Medicine and Industrial Hygiene, National Taiwan University, Taipei Department of Traditional Chinese Medicine Center of Excellence for Chang Gung Research Data Link, Chang Gung Memorial Hospital, Chiayi Department of Obstetrics and Gynecology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine Chang Gung Medical Foundation, Chang Gung Memorial Hospital, Chiayi, Taiwan.
Pau-Chung Chen
Yao-Hsu Yang
Chuan-Pin Lee
Ko-En Huang
Vincent C Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was conducted to investigate the effects of depression and antidepressant medications on hip fracture. The database of the Taiwan National Health Insurance with medical records of more than 1,000,000 individuals was searched for patients who had hip fracture with or without depression from 1998 to 2009. Patients with the following conditions were excluded: hip fracture due to cancer or traffic accidents, hip fracture that occurred before the diagnosis of depression, and use of antidepressants before the diagnosis of depression. A matched cohort of 139,110 patients was investigated, including 27,822 (17,309 females; 10,513 males) with depression and 111,288 (69,236 females; 42,052 males) without depression (1:4 randomly matched with age, sex, and index date). Among these patients, 232 (158 females and 74 males) had both hip fracture and depression, and 690 (473 females and 217 males) had hip fracture only. The Cox proportional-hazards regression method was used to determine the effect of depression on hip fracture. The hazard ratio (HR) for each clinical parameter was calculated after adjusting for confounders including sex, age, Charlson comorbidity index, urbanization, osteoporosis, and antidepressants. Results showed that patients with major depressive disorder had a 61% higher incidence of hip fracture than those without depression (HR 1.61, 95% confidence interval [CI] 1.19-2.18, P = 0.002). The risk of hip fracture for patients with less severe depressive disorder (dysthymia or depressive disorder, not otherwise specified) was not statistically higher than that of patients with no depression (HR 1.10, 95% CI = 0.91-1.34, P = 0.327). Among the patients with depression, females had a 49% higher incidence for hip fracture than males (HR 1.49, 95% CI 1.30-1.72, P < 0.001). The incidence of hip fracture also increased with age and Charlson comorbidity index scores. Analyses of both all (139,110) patients and only patients (27,822) with depression revealed that antidepressants had no negative impact on the incidence of hip fracture. In conclusion, major depression was found to be a risk factor for hip fracture and that use of antidepressants had no adverse effect on hip fracture in the Taiwanese population.

Indexed as

AdolescentAdultAgedAged, 80 and overAntidepressive AgentsChildChild, PreschoolCohort StudiesDepressionDepressive DisorderFemaleHip FracturesHumansIncidenceInfantMaleAntidepressive Agents

Identifiers

PMID27603358
PMCPMC5023880

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.