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Reporting quality of acupuncture overviews: A methodological investigation based on the PRIOR statement.
Lu, Tingting; Liu, Bin; Lu, Cuncun; Du, Zouxi; Yang, Kehu; Ge, Long.
Affiliation
  • Lu T; Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
  • Liu B; Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology in Gansu Province, Gansu Provincial Hospital, Lanzhou 730000, China.
  • Lu C; Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China. Electronic address: cuncunlu2017@163.com.
  • Du Z; Department of Clinical Medicine, The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China.
  • Yang K; Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China; Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, China.
  • Ge L; Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China; Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, China. Electronic address: gelong2009@163.com.
Complement Ther Med ; 82: 103034, 2024 Jun.
Article in En | MEDLINE | ID: mdl-38521419
ABSTRACT

OBJECTIVE:

Acupuncture overviews are increasing rapidly; however, their reporting quality is yet unclear. We aimed to investigate the reporting quality of relevant overviews according to the preferred reporting items for overviews of reviews (PRIOR) statement.

METHODS:

We systematically searched PubMed from inception to August 16, 2022 for overviews on acupuncture therapies. Reporting quality of included overviews was evaluated using the PRIOR statement, and the results were cross-checked. Multiple linear regression analysis was used to assess the predictors of the reporting completeness. GraphPad 9.4 was utilized to generate an evidence map, Excel 2019 was used to extract and manage data, and R 4.2.3 was used for data analysis.

RESULTS:

A total of 49 overviews published from 2006 to 2022 were included, of which China ranked first with 38 overviews. The most frequently searched database was PubMed/ Medline (n = 48, 98%), and commonly used methodological quality assessment tool was AMSTAR-2 (n = 14, 29%). The overarching themes centered on acupuncture for obstetrics, gynecology, reproductive diseases, as well as depression, anxiety, and insomnia. Reporting quality needs to be improved involving the definition of systematic reviews (SRs), overlap of primary studies and SRs, methods for managing discrepant data across SRs, risk of bias in primary studies, heterogeneity, and sensitivity analysis of synthesized results, reporting bias assessment, and registration and protocol. Moreover, publication in recent years and receiving funding support were significantly associated with higher overall reporting quality score (P < 0.05).

CONCLUSION:

Based on the PRIOR statement, this methodological study indicates that the reporting quality of the included acupuncture overviews is poor. In the future, authors of overviews are encouraged to use the PRIOR statement for standardized reporting. Furthermore, it is recommended that journal editors mandate the inclusion of this statement in authors' reports and require a complete PRIOR checklist.
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Full text: 1 Database: MEDLINE Traditional Medicines: Medicinas_tradicionales_de_asia / Medicina_china Main subject: Acupuncture Therapy Language: En Journal: Complement Ther Med Year: 2024 Type: Article Affiliation country: China

Full text: 1 Database: MEDLINE Traditional Medicines: Medicinas_tradicionales_de_asia / Medicina_china Main subject: Acupuncture Therapy Language: En Journal: Complement Ther Med Year: 2024 Type: Article Affiliation country: China