Evidence map›Paper›PMID 37810093›Full record

ArticleHeliyon2023

Persistent clinical symptoms and their association with CM syndromes in post-COVID-19 rehabilitation patients in Hong Kong.

Linda Zhong, Liang Tian, Chester Yan Jie Ng, Choryin Leung, Xian Yang, Ching Liong, Haiyong Chen, Rowena Wong, Bacon Fl Ng, Z X Lin and 3 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

13 authors at 4 institutions in 2 countries.

Linda ZhongSchool of Chinese Medicine, Hong Kong Baptist University, Hong Kong.
Liang TianDepartment of Physics and Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Hong Kong.
Chester Yan Jie NgSchool of Biological Sciences, Nanyang Technological University, Singapore.
Choryin LeungSchool of Chinese Medicine, Hong Kong Baptist University, Hong Kong.
Xian YangAlliance Manchester Business School, The University of Manchester, Singapore.
Ching LiongSchool of Chinese Medicine, The Chinese University of Hong Kong.
Haiyong ChenSchool of Chinese Medicine, LKS Faculty of Medicine, The University of Hong Kong.
Rowena WongChinese Medicine Department, Hospital Authority, Hong Kong.
Bacon Fl NgChinese Medicine Department, Hospital Authority, Hong Kong.
Z X LinSchool of Chinese Medicine, The Chinese University of Hong Kong.
Y B FengSchool of Chinese Medicine, LKS Faculty of Medicine, The University of Hong Kong.
Z X BianSchool of Chinese Medicine, Hong Kong Baptist University, Hong Kong.
for COVID-19 Research Team
Chinese University of Hong Kong · HKHong Kong Baptist University · HKHospital Authority · HKNanyang Technological University · SG

Funding

NIEHS NIH HHS 27306C2005
6 · The paper itself

Abstract

Background: Heterogeneous clinical conditions were observed in individuals who had recovered from COVID-19 and some symptoms were found to persist for an extended period post-COVID. Given the non-specific nature of the symptoms, Chinese medicine (CM) is advantageous in providing holistic medical assessment for individuals experiencing persisting problems. Chinese medicine is a type of treatment that involves prescribing regimens based on CM Syndromes diagnosed by CM practitioners. However, inadequate research on CM elements behind the practice has faced scrutiny. Methods: This study analysed 1058 CM medical records from 150 post-COVID-19 individuals via a semi-text-mining approach. A logistic model with MCMCglmm was then utilised to analyse the associations between the indicated factors and identified conditions. Calculations were performed using R Studio and related libraries. Results: With the semi-text-mining approach, three common CM Syndromes (Qi and Yin Deficiency, Lung and Spleen Deficiency, Qi Deficiency of both Spleen and Lung) and nine clinical conditions (fatigue, poor sleep, dry mouth, shortness of breath, cough, headache, tiredness, sweating, coughing phlegm) were identified in the CM clinical records. Analysis via MCMCglmm revealed that the occurrence of persisting clinical conditions was significantly associated with female gender, existing chronic conditions (hypertension, high cholesterol, and diabetes mellitus), and the three persisting CM Syndromes. The current study triangulated the findings from our previous observational study, further showing that patients with certain post-COVID CM Syndromes had significantly increased log-odds of having persisting clinical conditions. Furthermore, this study elucidated that the presence of chronic conditions in the patients would also significantly increase the log-odds of having persistent post-COVID clinical conditions. Conclusion: This study provided insights on mining text-based CM clinical records to identify persistent post-COVID clinical conditions and the factors associated with their occurrence. Future studies could examine the integration of integrating exercise modules, such as health qigong Liuzijue, into multidisciplinary rehabilitation programmes.

Indexed as

Chinese medicineChinese medicine syndromesClinical text miningCOVID-19Rehabilitation

Identifiers

PMID37810093
PMCPMC10558494
OpenAlexW4386171872

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.