Evidence map›Paper›PMID 37090985›Full record

ArticleFrontiers in neurology2023

Elevated red blood cell distribution width levels predict depression after intracerebral hemorrhage: A 3-month follow-up study.

Xianping Zhou, Yaqiang Li, Zhongbo Sun, Li Mu, Yaoyao Ma

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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 3 institutions in 1 country.

Xianping ZhouDepartment of Laboratory, Bozhou Hospital Affiliated to Anhui Medical University, Bozhou, China.
Yaqiang LiDepartment of Neurology, People's Hospital of Lixin County, Bozhou, China.
Zhongbo SunDepartment of Neurosurgery, First Affiliated Hospital of Anhui University of Science and Technology (First People's Hospital of Huainan), Huainan, China.
Li MuDepartment of Laboratory, Bozhou Hospital Affiliated to Anhui Medical University, Bozhou, China.
Yaoyao MaDepartment of Laboratory, Bozhou Hospital Affiliated to Anhui Medical University, Bozhou, China.
Anhui Medical University · CNAnhui University of Science and Technology · CNBozhou People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Inflammation vitally impacts the progression of depression resulting from intracerebral hemorrhage (ICH), while red blood cell distribution width (RDW) marks inflammatory-related diseases. The present study aimed at evaluating how RDW affects depression after ICH. Methods: From prospective analyses of patients admitted to our department between January 2017 and September 2022, ICH patients with complete medical records were evaluated. The 17-item Hamilton Depression (HAMD-17) scale was used for measuring the depressive symptoms at 3 months after ICH. Diagnosis of post-ICH depression was conducted for patients based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) criteria. Results: A total of 438 patients were enrolled in the study, out of which 93 (21.23%) patients had PSD at the 3-month follow-up. Accordingly, patients with depression had higher RDW levels (13.70 [IQR: 13.56-13.89] vs.13.45 [IQR: 12.64-13.75], Conclusions: Elevated RDW level predicted post-ICH depression at 3 months, confirming RDW as an effective inflammatory marker for predicting depression after ICH.

Indexed as

depressioninflammationintracerebral hemorrhagered blood cell distribution widthstroke

Identifiers

PMID37090985
PMCPMC10113641
OpenAlexW4362621229

What Socratic holds

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LicenceCC BY
Read underepoch 390

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.