Evidence map›Paper›PMID 31863164›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2020

Reduced plasma Fetuin-A is a promising biomarker of depression in the elderly.

Giuseppe Fanelli, Francesco Benedetti, Sheng-Min Wang, Soo-Jung Lee, Tae-Youn Jun, Prakash S Masand, Ashwin A Patkar, Changsu Han, Alessandro Serretti, Chi-Un Pae and 1 more

Abstract read
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In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Mechanistic insights into the liver-brain axis during chronic liver disease.Nature reviews. Gastroenterology & hepatology · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Clinical Utility of Fluid Biomarker in Depressive Disorder.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
    Review
  9. 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

11 authors at 6 institutions in 4 countries.

Giuseppe FanelliDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Francesco BenedettiPsychiatry and Clinical Psychobiology Unit, Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy.
Sheng-Min WangDepartment of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Soo-Jung LeeDepartment of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Tae-Youn JunDepartment of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Prakash S MasandGlobal Medical Education, New York, NY, USA.
Ashwin A PatkarDepartment of Psychiatry and Behavioural Sciences, Duke University Medical Center, Durham, NC, USA.
Changsu HanDepartment of Psychiatry, College of Medicine, Korea University, Seoul, Republic of Korea.
Alessandro SerrettiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.ORCID http://orcid.org/0000-0003-4363-3759
Chi-Un PaeDepartment of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. pae@catholic.ac.kr.
Chiara FabbriSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Catholic University of Korea · KRDuke University · USUniversity of Bologna · ITKing's College London · GBKorea University · KRSan Raffaele University of Rome · IT

Funding

Korean Health Technology R&D Project, Ministry of Health & Welfare HC15C1405
6 · The paper itself

Abstract

Depression affects 7% of the elderly population, and it often remains misdiagnosed or untreated. Peripheral biomarkers might aid clinicians by allowing more accurate and well-timed recognition of the disease. We sought to determine if plasma protein levels predict the severity of depressive symptomatology or distinguish patients from healthy individuals. The severity of depressive symptoms and global cognitive functioning were assessed by the Geriatric Depression Scale (GDS) and Mini-Mental State Examination (MMSE) in 152 elderly subjects, 76 of which with major depressive disorder (MDD). Plasma levels of 24 proteins were measured by multiplexing and analyzed as continuous predictors or dichotomized using the median value. The association between individual plasma proteins and MDD risk or depressive symptoms severity was investigated using multiple logistic and linear regressions including relevant covariates. Sensitivity analyses were performed excluding cognitively impaired individuals or non-acute patients with MDD. After adjusting for possible confounders and false discovery rate (FDR) correction, we found lower Fetuin-A levels in MDD patients vs. controls (p

Indexed as

AgedAged, 80 and overAgingalpha-2-HS-GlycoproteinBiomarkersFemaleHumansMajor Depressive DisorderMaleMiddle AgedProlactinProspective StudiesSeverity of Illness IndexAHSG protein, humanalpha-2-HS-GlycoproteinBiomarkersProlactinBiomarkersElderlyFetuin-AMajor depressionNeuroinflammationProlactin

Identifiers

PMID31863164
OpenAlexW2995231389

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.