ReviewIntegrative medicine research2022
Complementary and alternative medicine (CAM) interventions for COVID-19: An overview of systematic reviews.
Review in Integrative medicine research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 43 citations in OpenAlex.
- The efficacy of herbal medicines on the length of stay and negative conversion time/rate outcomes in patients with COVID-19: a systematic review.Frontiers in pharmacology · 2024Pooled it
- Attitudes and beliefs regarding the use of herbs and supplementary medications with COVID-19: A systematic review.Research in social & administrative pharmacy : RSAP · 2023Pooled it
- Combination of Chinese herbal medicine and conventional western medicine for coronavirus disease 2019: a systematic review and meta-analysis.Frontiers in medicine · 2023Pooled it
- Attitudes and use of complementary and alternative medicine: a cross-sectional comparison between medical and non-medical students.Frontiers in pharmacology · 2025Article
- The methodological reporting quality in strictly randomized controlled trials for COVID-19 and precise reporting of Chinese herbal medicine formula intervention.Frontiers in pharmacology · 2025Article
- Review
- Association between Paediatric Complementary and Alternative Medicine Use and Parental Health Literacy, Child Health, and Socio-Economic Variables: A Prospective Study.Pediatric reports · 2024Article
- Mapping of systematic reviews on traditional medicine across health conditions: a protocol for a systematic map.BMJ open · 2023Article
- Effects of aromatherapy on sore throat, nasal symptoms and sleep quality in adults infected with COVID-19: A randomized controlled trial.Integrative medicine research · 2023Article
- From Archipelago to Pandemic Battleground: Unveiling Indonesia's COVID-19 Crisis.Journal of epidemiology and global health · 2023Review
- Acupuncture as an Additional Method of Rehabilitation Post-COVID-19: a randomized controlled trial.Journal of pharmacopuncture · 2023Article
- Complementary and alternative medicine for long COVID: a systematic review of randomized controlled trials.Therapeutic advances in chronic disease · 2023Review
- Curative Potential of High-Value Phytochemicals on COVID-19 Infection.Biochemistry. Biokhimiia · 2023Review
- The effects of acute hydrogen peroxide exposure on respiratory cilia motility and viability.PeerJ · 2023Article
- Complementary and Alternative Medicines Used by Middle-Aged to Older Taiwanese Adults to Cope with Stress during the COVID-19 Pandemic: A Cross-Sectional Survey.Healthcare (Basel, Switzerland) · 2022Article
- Therapeutic and palliative role of a Unani herbal decoction in COVID-19 and similar respiratory viral illnesses: Phytochemical & pharmacological perspective.Journal of ethnopharmacology · 2022Review
- Article
- A nationwide survey on the management of the COVID-19 pandemic and respiratory disease in South Korea.Frontiers in medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Since the beginning of the Coronavirus disease 2019 (COVID-19) pandemic, various complementary and alternative medicines (CAMs) have been used in clinical practice. In this overview, we summarized the evidence for CAM interventions in the treatment of COVID-19 patients. Methods: For this overview, PubMed, Embase and Cochrane Library were searched from inception to October 2021. Systematic reviews (SRs) on the effectiveness and safety of CAM interventions for COVID-19 patients were located, and the MeaSurement Tool to Assess Systematic Reviews 2 (AMSTAR 2) was used to evaluate the reporting quality of the included SRs. Keywords including COVID-19 and CAM interventions were used for locating SRs. For evidence mapping, we created a two-dimensional bubble plot that included the width and strength of the evidence for each CAM intervention and specific outcome. Results: In this overview, we identified 24 SRs (21 for Traditional Chinese Medicine (TCM) medications, two for vitamin D and one for home-based activity). From the included SRs, TCM herbal medications were reported to show good results in decreasing the rate of disease progression (relative risk (RR) 0.30, 95% confidence intervals (CI) [0.20, 0.44]), time to the resolution of fever (standard mean difference (SMD) -0.98, 95% CI [-1.78, -0.17]) and rate of progression to severe COVID-19 cases (RR 0.34, 95% CI [0.18, 0.65]), but the evidence for other interventions did not show effectiveness with certainty. Gastric disturbance was a major adverse event of TCM medications. Conclusion: There is evidence that TCM medications are effective in the symptom management of COVID-19 patients. However, evidence for the effectiveness of most CAM interventions still needs evaluation.
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Registered trials
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.