Evidence map›Paper›PMID 31690277›Full record

ArticleBMC neurology2019

Low free triiodothyronineis predicts worsen neurological outcome of patients with acute ischemic stroke: a retrospective study with bioinformatics analysis.

Shanchao Zhang, Xia Zhao, Shan Xu, Jing Yuan, Zhihua Si, Yang Yang, Shan Qiao, Xuxu Xu, Aihua Wang

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.2field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

9 authors at 1 institution in 1 country.

Shanchao ZhangDepartment of Neurology, Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, NO.16766 JingShi Road, Jinan, 250014, Shandong, China. zhangshanchao2012@163.com.ORCID http://orcid.org/0000-0002-5543-4530
Xia ZhaoDepartment of Neurology, Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, NO.16766 JingShi Road, Jinan, 250014, Shandong, China.
Shan XuDepartment of Neurology, Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, NO.16766 JingShi Road, Jinan, 250014, Shandong, China.
Jing YuanDepartment of Neurology, Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, NO.16766 JingShi Road, Jinan, 250014, Shandong, China.
Zhihua SiDepartment of Neurology, Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, NO.16766 JingShi Road, Jinan, 250014, Shandong, China.
Yang YangDepartment of Neurology, Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, NO.16766 JingShi Road, Jinan, 250014, Shandong, China.
Shan QiaoDepartment of Neurology, Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, NO.16766 JingShi Road, Jinan, 250014, Shandong, China.
Xuxu XuDepartment of Neurology, Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, NO.16766 JingShi Road, Jinan, 250014, Shandong, China.
Aihua WangDepartment of Neurology, Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated with Shandong First Medical University, NO.16766 JingShi Road, Jinan, 250014, Shandong, China.
Shandong Provincial QianFoShan Hospital · CN

Funding

National Natural Science Foundation of China No.81601020Natural Science Foundation of Shandong Province No.ZR2016HP04Natural Science Foundation of Shandong Province ZR2019MH062
6 · The paper itself

Abstract

backgroudPatients with acute ischemic stroke (AIS) often experience low serum free triiodothyronine (FT3), but the association of low FT3 with stroke severity, subtype and prognosis has not yet been thoroughly studied, and the molecular events underlying these clinical observation were also unclear.

methodsWe retrospectively collected 221 cases of AIS and 182 non-AIS cases with detailed clinical data from our department. FT3 concentrations were measured on admission to predict functional outcome within 3 months using multivariable models adjusted for other risk factors. Receiver operating characteristic (ROC) curves were calculated to define the best cutoff value of FT3 of stroke severity, subtypes and neurological outcome. Gene set enrichment, pathway mapping and network analyses of deferentially expressed genes (DEGs) were performed.

resultsFT3 was significantly decreased in AIS patients with National Institutes of Health Stroke Scale (NIHSS) > 3 and 3-months modified Rankin Scale (mRS) > 2. The cut-off value of FT3 for NIHSS on admission was 4.30 pmol/L. Also, FT3 level was significantly lower in large artery atherosclerosis (LAA) group and cardioembolism (CE) group than that in small vessel occlusion (SVO). FT3 value served as an independent predictor for neurological outcomes for which the cut-off value of FT3 was 4.38 pmol/l. Gene ontology (GO) analysis showed that the biological function of DEGs was mainly enriched in multicellur organism, neuron differentiation and cellular response to hypoxia. The cellular components were involved in extracelluar region, exosome and matrix, and the molecular functions were transcriptional activator activity, DNA binding and nuclear hormone receptor binding. Signal pathways analysis was indicative of neuroactive ligand-receptor interaction, thyroid hormone signaling pathway, and protein digestion and absorption these DEGs were involved in. Six related gene were identified as hubs from the protein-protein interaction (PPI) networks. Three modules were selected from PPI, of which MMP4, ADRA2C and EIF3E were recognized as the seed genes.

conclusionsLow FT3 value on admission was associated with stroke severity, subtype and prognosis. In addition, DEGs identified from bioinformatics analysis are likely to be candidates for elucidating clinical outcomes with low FT3, and provide us with therapeutic targets for improving stroke prognosis.

Indexed as

StrokeComputational BiologyHumansPrognosisRetrospective StudiesTriiodothyronineTriiodothyronineBioinformatics analysisPrognosisStrokeTriiodothyronineis

Identifiers

PMID31690277
PMCPMC6833267
OpenAlexW2983864746

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.