Evidence map›Paper›PMID 37008058›Full record

ArticleAging and disease2023

Strategies for the Emergency Treatment of Pregnant Women with Neurological Symptoms during the COVID-19 Pandemic.

Haojun Yang, Yishu Fan, Ziqing Zhu, Haiyue Wu, Zhuohui Chen, Xinhang Hu, Tong Wu, Mengqi Zhang

Open access · goldFull text read
In one paragraph

Article in Aging and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 76% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Haojun Yang *1Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Yishu Fan *1Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Ziqing Zhu1Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Haiyue Wu1Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Zhuohui Chen1Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Xinhang Hu1Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Tong Wu1Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Mengqi Zhang1Department of Neurology, Xiangya Hospital of Central South University, Changsha, Hunan, China.
Xiangya Hospital Central South University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease-19 (COVID-19) has been spreading all over the world for more than two years. Though several kinds of vaccines are currently available, emergence of new variants, spike mutations and immune escape have raised new challenges. Pregnant women are vulnerable to respiratory infections due to their altered immune defence and surveillance functions. Besides, whether pregnant persons should receive a COVID-19 vaccine is still under debate because limited data are available on the efficacy and safety of receiving a vaccine during pregnancy. Physiological features and lack of effective protection making pregnant women at high risk of getting infected. Another concern is that pregnancy may trigger the onset of underlying existing neurological disease, which is highly similar to those neurological symptoms of pregnant women caused by COVID-19. These similarities interfere with diagnosis and delay timely and effective management. Therefore, providing efficient emergency support for pregnant women suffering from neurological symptoms caused by COVID-19 remains a challenge among neurologists and obstetricians. To improve the diagnosis and treatment efficiency of pregnant women with neurological symptoms, we propose an emergency management framework based on the clinicians' experience and available resources. This emergency care system aimed at addressing the conundrums faced by the emergency guarantee system under COVID-19 pandemic and could serve as a potential multisystem project for clinical practice and medical education.

Indexed as

CNS diseaseCorona Virus Disease 2019epidemic prevention and controlpregnant women

Identifiers

PMID37008058
PMCPMC10017149
OpenAlexW4312446189

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read19
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 Socratic graph.