Evidence map›Paper›PMID 38084247›Full record

ArticleJournal of medical biochemistry2023

Prediction of post-stroke depression with combined blood biomarkers IL-6, TNF-a, and fatty acid binding protein: A prospective study.

Linlin Wang, Chen Chunyou, Jingang Zhu, Xianjun Bao, Xiaoxiao Tao

Open access · diamondAbstract read
In one paragraph

Article in Journal of medical biochemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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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 1 institution in 1 country.

Linlin WangThe First People's Hospital of Wenling, Department of Neurology, Zhejiang, China.
Chen ChunyouThe First People's Hospital of Wenling, Department of Neurology, Zhejiang, China.
Jingang ZhuThe First People's Hospital of Wenling, Department of Neurology, Zhejiang, China.
Xianjun BaoThe First People's Hospital of Wenling, Department of Neurology, Zhejiang, China.
Xiaoxiao TaoThe First People's Hospital of Wenling, Department of Neurology, Zhejiang, China.
The First People's Hospital of Wenling · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To investigate the expression levels of blood biomarkers interleukin-6 (IL-6), tumour necrosis factor (TNF-a), and intestinal fatty acid binding protein (iFABP) in patients with post-stroke depression (PSD), and their correlation with PSD occurrence. Methods: Clinical data of stroke patients admitted to the First People's Hospital of Wenling from December 2017 to December 2022 were retrospectively analyzed. Patients were classified into two groups based on their Hamilton Depression Rating Scale (HAMD) scores: PSD and nonPSD groups. The blood levels of IL-6, TNF-a, and iFABP were compared between the two groups, and their association with PSD occurrence was analyzed. Results: The PSD group had significantly higher levels of IL-6, TNF-a, and iFABP. The combined detection of these biomarkers demonstrated a greater predictive value for PSD occurrence compared to the individual detection of each biomarker. Conclusions: The study indicates that the levels of IL-6, TNF-a, and iFABP in the blood are significantly increased in patients with PSD. The combined detection of these biomarkers can effectively predict the occurrence of PSD, indicating high clinical value.

Indexed as

IL-6intestinal fatty acid binding proteinpost-stroke depressionTNF-a

Identifiers

PMID38084247
PMCPMC10710798
OpenAlexW4382766479

What Socratic holds

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LicenceCC BY
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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 Socratic graph.