Evidence map›Paper›PMID 34929564›Full record

ArticlePhytomedicine : international journal of phytotherapy and phytopharmacology2022

The effect of Huashibaidu formula on the blood oxygen saturation status of severe COVID-19: A retrospective cohort study.

Yibai Xiong, Yaxin Tian, Yan Ma, Bin Liu, Lianguo Ruan, Cheng Lu, Luqi Huang, National Traditional Chinese Medicine Medical Team

Open access · hybridAbstract read
In one paragraph

Article in Phytomedicine : international journal of phytotherapy and phytopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Bioactive compounds from Huashi Baidu decoction possess both antiviral and anti-inflammatory effects against COVID-19.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Review
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.

Yibai XiongInstitute of Basic Research In Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Yaxin TianInstitute of Basic Research In Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Yan MaInstitute of Basic Research In Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Bin LiuInstitute of Basic Research In Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Lianguo RuanDepartment of Infectious Diseases, Jinyintan hospital, Wuhan, 430024, China.
Cheng LuInstitute of Basic Research In Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China. Electronic address: lv_cheng0816@163.com.
Luqi HuangNational Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China. Electronic address: hlq910@126.com.
National Traditional Chinese Medicine Medical Team
Chinese Academy of Medical Sciences & Peking Union Medical College · CNJinyintan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuashibaidu Formula (HSBD) for the COVID-19 treatment has been supported by the China's Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia. However, it is not clear whether HSBD can improve blood oxygen saturation and when it should be used with conventional therapies. PURPOSE: To access the effect of HSBD combined with conventional treatment on blood oxygen saturation of COVID-19 patients.

methodsA single-center retrospective cohort study was conducted to collect the confirmed severe COVID-19 patients' information, treated by the National Traditional Chinese Medicine Medical Team at the Jinyintan hospital between January 24 and March 31, 2020. According to whether HSBD was used during hospitalization, participants were separated into the conventional treatment group and the HSBD group (HSBD and conventional treatment). The primary observation indicators included the time for relieving blood oxygen saturation and the improvement ratio of blood oxygen saturation in each group.

resultsOf 111 patients with severe COVID-19, 53.2% (59/111) received HSBD, and 46.8% (52/111) only received conventional treatment, respectively. No statistically significant difference was found in image, clinical symptoms, and past medical history between the two groups (p > 0.05). Notably, the median time for relieving blood oxygen saturation in the conventional treatment group was 11 days (IQR, 8-14.25), while that in the HSBD group was only 6 days (IQR, 3.25-10.75), which was significantly shortened by 4.09 days (95%CI, 2.07-6.13; p= 0.0001), compared with the conventional treatment group. After repeated measurement design analysis, the main effect within times (p< 0.001) and the main effect were significantly different under the oxygen saturation dimension between two groups (p= 0.004). However, time and group interaction were observed no significant difference (p= 0.094). After 14 days of treatment, the improvement ratio of the HSBD group over the conventional treatment group was 1.20 (95%CI, 0.89-1.61).

conclusionFor severe COVID-19 patients, the HSBD has a tendency to shorten the time for relieving blood oxygen saturation. After taking a course of HSBD, the effect can be more obvious.

Indexed as

COVID-19 Drug TreatmentHumansOxygen SaturationRetrospective StudiesSARS-CoV-2Treatment OutcomeBlood oxygen saturationCOVID-19Huashibaidu formulaSevere symptomTraditional Chinese medicine

Identifiers

PMID34929564
PMCPMC8641428
OpenAlexW4200031519

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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.