Evidence map›Paper›PMID 37405115›Full record

ReviewJournal of pharmacopuncture2023

Efficacy of Herbal Medicines on Lung Function in Asthma: a systematic review and meta-analysis of randomized controlled trials.

Alireza Derakhshan, Masoumeh Sadeghi, Amir-Mohammad-Hashem Asnaashari, Mohsen Dehghani, Roshanak Salari, Majid Khadem-Rezaiyan, Majid Mirsadraee, Shahin Saeidinejat, Shima Jalali, Shabnam Jalali

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of pharmacopuncture, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. The relaxant effect of the extract ofAvicenna journal of phytomedicine
    Article
  5. 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

10 authors at 3 institutions in 1 country.

Alireza DerakhshanFaculty of Traditional Persian Medicine, School of Persian and Complementary Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0002-3597-1312
Masoumeh SadeghiDepartment of Epidemiology, Faculty of Health, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0001-9648-4684
Amir-Mohammad-Hashem AsnaashariLung Disease Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0003-2960-7132
Mohsen DehghaniDepartment of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-1580-5480
Roshanak SalariFaculty of Traditional Persian Medicine, School of Persian and Complementary Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0003-4690-7823
Majid Khadem-RezaiyanDepartment of Community Medicine and Public Health, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0003-2698-176X
Majid MirsadraeeDepartment of Internal Medicine, Faculty of Medicine, Islamic Azad University-Mashhad Branch, Mashhad, Iran.ORCID https://orcid.org/0000-0003-3420-9438
Shahin SaeidinejatFaculty of Traditional Persian Medicine, School of Persian and Complementary Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0002-1614-0855
Shima JalaliDepartment of Internal, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0002-0696-2564
Shabnam JalaliDepartment of Internal, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0002-9093-0660
Mashhad University of Medical Sciences · IRIran University of Medical Sciences · IRIslamic Azad University, Mashhad · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The present study was designed to conduct a comprehensive systematic review and meta-analysis to assess the efficacy of herbal medicines as add-on therapy on lung function in asthmatic patients. Methods: A comprehensive search of online databases was performed up to December 2021 to identify randomized controlled trials that used orally herbal preparations for asthma as add-on therapy. Studies were assessed for methodological quality using the Cochrane Collaboration's Risk of Bias tool. The main outcome was percent predicted value of forced expiratory volume (% predicted FEV1). Pooled weighted mean difference (WMD) estimate with corresponding 95% confidence interval (CI) was calculated using inverse-variance weights method while random effects meta-analysis was used, taking into account clinical and conceptual heterogeneity. Results: As a result, 1,525 studies were identified. 169 studies were reviewed in-depth and 23 studies met our systematic review inclusion criteria. Finally, nine randomized controlled trials were included in the meta-analysis. Findings indicated that use of herbal medicines in patients with asthma significantly improved % predicted FEV1 (WMD 3.73, 95% CI 1.76-5.70), with no evidence for significant heterogeneity (p = 0.56 [Q statistic], I Conclusion: Findings support, the complementary use of herbal medicines resulted in significant improvement in the lung function compared to standard treatment in asthmatic patients with no considerable adverse events. This improvement is more likely to be observed amongst adults.

Indexed as

asthmaforced expiratory volumeherbal drugmeta-analysispersian medicine

Identifiers

PMID37405115
PMCPMC10315876
OpenAlexW4382776176

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.