Evidence map›Paper›PMID 35480518›Full record

ArticlePakistan journal of medical sciences

Predictive value of serum adiponectin and hemoglobin levels for vascular cognitive impairment in ischemic stroke patients.

Zhouling Li, Manlian Zhu, Cheng Meng, Hai Lin, Lifen Huang

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  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.

Zhouling LiZhouling Li, Department of Neurology, The Second People's Hospital of Lishui, Lishui 323000, Zhejiang Province, China.
Manlian ZhuManlian Zhu, Department of Neurology, The Second People's Hospital of Lishui, Lishui 323000, Zhejiang Province, China.
Cheng MengCheng Meng, Department of Neurology, The Second People's Hospital of Lishui, Lishui 323000, Zhejiang Province, China.
Hai LinHai Lin, Department of Neurology, The Second People's Hospital of Lishui, Lishui 323000, Zhejiang Province, China.
Lifen HuangLifen Huang, Department of Neurology, The Second People's Hospital of Lishui, Lishui 323000, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate the potential predictive value of serum adiponectin (APN) and hemoglobin (Hb) levels for the occurrence of vascular cognitive impairment in ischemic stroke patients. Methods: Eighty ischemic stroke patients, admitted to our hospital between June 2019 and November 2020, were retrospectively divided into no cognitive impairment (NCI) group (n=43) and cognitive impairment (CI) group (n=37) based on Montreal Cognitive Assessment (MoCA) scale scoring at three months follow-up. ELISA was used to assess serum Hb and APN levels and receiver operating characteristic (ROC) curves were created to evaluate correlation. Results: Serum APN and Hb levels were lower in the vascular cognitive impairment group compared to non-impaired counterparts. Pearson correlation analysis showed that both APN and Hb levels were positively correlated with MoCA scores. Area under curve analysis indicated predictive value for serum APN and Hb for predicting cognitive impairment in ischemic stroke patients. Conclusion: Serum APN and Hb levels in ischemic stroke patients have value for predicting vascular cognitive impairment and may be suitable for helping dictate treatment planning.

Indexed as

AdiponectinHemoglobinIschemic strokeVascular cognitive impairment

Identifiers

PMID35480518
PMCPMC9002452

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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.