Evidence map›Paper›PMID 39564266›Full record

ArticleIndian journal of psychological medicine2024

Association of Biomarkers with the Severity of Depression.

Shruti Agnihotri, Suresh Daripelly, Shirley Keerthana Cherla, Ajay Kumar Jopaka, Umashankar Molanguri

Abstract read
In one paragraph

Article in Indian journal of psychological medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Shruti AgnihotriDept. of Psychiatry, Gandhi Medical College and Hospital, Secunderabad, Telangana, India.ORCID https://orcid.org/0000-0002-8967-9894
Suresh DaripellyDept. of Psychiatry, Gandhi Medical College and Hospital, Secunderabad, Telangana, India.
Shirley Keerthana CherlaDept. of Psychiatry, Gandhi Medical College and Hospital, Secunderabad, Telangana, India.
Ajay Kumar JopakaDept. of Psychiatry, Gandhi Medical College and Hospital, Secunderabad, Telangana, India.
Umashankar MolanguriDept. of Psychiatry, Gandhi Medical College and Hospital, Secunderabad, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The pathogenesis of depression remains elusive and uncertain. The literature suggests that low-grade systemic inflammation might contribute to the etiology of depression. Other markers that are studied are serum magnesium and serum cortisol. The association between these factors might help understand the etiology. Methods: This was a cross-sectional study conducted on a sample of 40 participants. Socio-demographic data was noted, and the Hamilton depression rating scale was applied to rate the severity of depression. Blood samples were drawn at 8 a.m. to record a complete blood picture (to derive the neutrophil-lymphocyte ratio (NLR)), C-reactive protein, serum magnesium, and serum cortisol. Results: In this study, conducted on a sample size of 40, inflammatory markers such as C-reactive protein (CRP: mg/dl) and NLR were significantly increased to 15.52 ± 13.10 and 6.46 ± 2.92, respectively, showing an underlying inflammatory pathology. Serum cortisol (µg/dl) was also raised to 22.30 ± 5.46, and there was a fall in serum magnesium. Also, it is noteworthy that all these markers were significantly associated with the severity of depression, as the Pearson correlation between the Hamilton depression rating scale-21 item (HAM-D-21) score and CRP, NLR, and serum cortisol was positive and statistically significant ( Conclusion: There is a state of systemic inflammation, hypercortisolemia, and hypomagnesemia in depressive disorders.

Indexed as

cortisolC-reactive proteindepressioninflammationmagnesiumneutrophil–lymphocyte ratio

Identifiers

PMID39564266
PMCPMC11572400

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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.