Evidence map›Paper›PMID 38948513›Full record

ArticleFrontiers in endocrinology2024

CT semi-quantitative score used as risk factor for hyponatremia in patients with COVID-19: a cross-sectional study.

Baofeng Wu, Ru Li, Jinxuan Hao, Yijie Qi, Botao Liu, Hongxia Wei, Zhe Li, Yi Zhang, Yunfeng Liu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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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

1 citing paper in PubMed.

  1. 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.

Baofeng Wu *Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China.
Ru Li *Department of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China.
Jinxuan HaoDepartment of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China.
Yijie QiDepartment of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China.
Botao LiuDepartment of Medical Imaging, Shanxi Medical University, Taiyuan, China.
Hongxia WeiDepartment of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China.
Zhe LiDepartment of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China.
Yi ZhangDepartment of Pharmacology, Shanxi Medical University, Taiyuan, China.
Yunfeng LiuDepartment of Endocrinology, First Hospital of Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Chest computed tomography (CT) is used to determine the severity of COVID-19 pneumonia, and pneumonia is associated with hyponatremia. This study aims to explore the predictive value of the semi-quantitative CT visual score for hyponatremia in patients with COVID-19 to provide a reference for clinical practice. Methods: In this cross-sectional study, 343 patients with RT-PCR confirmed COVID-19, all patients underwent CT, and the severity of lung lesions was scored by radiologists using the semi-quantitative CT visual score. The risk factors of hyponatremia in COVID-19 patients were analyzed and combined with laboratory tests. The thyroid function changes caused by SARS-CoV-2 infection and their interaction with hyponatremia were also analyzed. Results: In patients with SARS-CoV-2 infection, the total severity score (TSS) of hyponatremia was higher [M(range), 3.5(2.5-5.5) vs 3.0(2.0-4.5) scores, Conclusion: Semi-quantitative CT score can be used as a risk factor for hyponatremia in patients with COVID-19. There is a weak positive correlation between serum sodium and free triiodothyronine in patients with SARS-CoV-2 infection.

Indexed as

COVID-19HyponatremiaSARS-CoV-2Severity of Illness IndexTomography, X-Ray ComputedAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsRisk Factorscomputed tomographyCOVID-19free triiodothyroninehyponatremiapneumoniaSARS-CoV-2

Identifiers

PMID38948513
PMCPMC11211362

What Socratic 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 Socratic graph.