Evidence map›Paper›PMID 39054520›Full record

ArticleBMC psychiatry2024

Prevalence and clinical correlates of abnormal lipid metabolism in older Chinese patients with first-episode drug-naïve major depressive disorder.

Xiao Huang, M M Yuan Sun, Xiang-Yang Zhang

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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.

Xiao Huang *Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Workers' Stadium South Road, Chaoyang Distinct, Beijing, 100020, China.
M M Yuan Sun *Department of Pharmacy, Peking University Third Hospital, No. 49 Huayuan North Road, Haidian District, Beijing, China.
Xiang-Yang ZhangHefei Fourth People's Hospital; Anhui Mental Health Center, 316 Huangshan Road, Hefei, 230022, China. zhangxy@psych.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder major depressive disorder (MDD) patients have more complex clinical symptoms and higher abnormal lipid metabolism (ALM) rates. This study aimed to compare clinical differences between those with and without ALM in a sample of older first-episode drug naïve (FEDN) patients.

methodsWe recruited 266 older MDD patients. Socio-demographic variables, clinical data, and lipid parameters were obtained. The Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA), and the positive subscale of the Positive and Negative Syndrome Scale (PANSS-P) were conducted to evaluate patients' depression, anxiety and psychotic symptoms, respectively.

resultsIn this study, we found that the prevalence of comorbid ALM was 86.1% in older MDD patients. Compared with the non-abnormal lipid metabolism (NALM) group, the ALM group had a higher duration of illness, higher clinical global impression of severity scale (CGI-S) and HAMD scores, higher thyroid stimulating hormone (TSH) and glucose levels. Logistic regression analysis indicated that duration of illness (OR = 1.11, P = 0.023, 95%CI = 1.015-1.216) and CGI-S score (OR = 2.28, P = 0.014, 95%CI = 1.18-4.39) were associated with ALM in older MDD patients.

conclusionThe importance of regular lipid assessment in older MDD patients needs to be taken into account.

Indexed as

Major Depressive DisorderAgedChinaComorbidityEast Asian PeopleFemaleHumansLipid MetabolismLipid Metabolism DisordersMaleMiddle AgedPrevalencePsychiatric Status Rating ScalesAbnormal lipid metabolismClinical correlatesMajor depressive disorder patientsPrevalence

Identifiers

PMID39054520
PMCPMC11270971

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.