Towards a SPIRIT–Ayurveda extension: a methodological framework for reporting guideline development

Abstract Background Protocol transparency is a cornerstone of reproducible health research, yet clinical trial protocols for whole-system interventions such as Ayurveda remain underserved by current reporting standards. SPIRIT 2025 introduced a dedicated open-science section and now comprises 34 minimum protocol items; however, whether this framework—designed by a Delphi consensus involving 317 participants—can accommodate the multi-modal, individualized logic of Ayurvedic whole-system research, and whether its open-science provisions can be operationalized for Ayurvedic trials, has not been articulated. Main text Building on the EQUATOR Network’s framework for reporting-guideline development, we propose a conceptual framework and eleven candidate SPIRIT–Ayurveda extension items for future Delphi evaluation, rather than immediate implementation. The proposed framework integrates reproducibility, transparency, and open-science principles into protocol reporting for whole-system Ayurvedic clinical trials. We synthesize evidence of transparency gaps in registered Ayurvedic trials: only 64.8% of Traditional Indian Medicine trials reported randomization, below the 75.4% reported in Traditional Chinese Medicine, and a 2017 audit found that 73.6% of 507 CTRI-registered Ayurvedic trials were registered retrospectively — a historical baseline that predates CTRI’s April 2018 prospective-only registration mandate, leaving post-2018 compliance an open empirical question. We follow the precedent of established SPIRIT candidate extensions and the Good Clinical Trials for Traditional Medicine consensus, to propose 11 candidate Ayurveda-specific extensions (AE1–AE11), alongside a roadmap that includes prospective registration, open-data deposition, protocol preprinting, and material standardization. The development process is modeled on the modified nominal-group technique used by SPIRIT-CHMF 2025, with consensus defined a priori as ≥ 70% of the Delphi panel rating an item as critical (7–9 on a 9-point Likert scale) and < 15% rating it as limited importance; followed by pilot testing. Conclusion A proposed SPIRIT–Ayurveda extension grounded in reproducibility and open-science principles can act as a methodological bridge between Ayurvedic epistemology and the global evidentiary ecosystem—particularly given that a cross-sectional survey found 76.0% of complementary, alternative, and integrative medicine researchers actively publish open access but only 48.0% register study protocols and even fewer share raw data. Future evaluation of protocol sharing, pre-specification of analysis plans, and transparent reporting of traditional diagnostic criteria could contribute to a more reproducible research culture in Ayurvedic clinical research.

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Journal
BMC Medical Research Methodology
Published
2026-11-06
DOI
https://doi.org/10.1186/s12874-026-03081-y
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
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article

Towards a SPIRIT–Ayurveda extension: a methodological framework for reporting guideline development

Satyajit Pandurang Kulkarni, Pallavi Satyajit Kulkarni, Dr Bharat Rathi, Shweta Parwe
3 links
BMC Medical Research Methodology
Meta-analysis and systematic reviews
article

Towards a SPIRIT–Ayurveda extension: a methodological framework for reporting guideline development

Satyajit Pandurang Kulkarni, Pallavi Satyajit Kulkarni, Dr Bharat Rathi, Shweta Parwe
article en

Abstract

Abstract Background Protocol transparency is a cornerstone of reproducible health research, yet clinical trial protocols for whole-system interventions such as Ayurveda remain underserved by current reporting standards. SPIRIT 2025 introduced a dedicated open-science section and now comprises 34 minimum protocol items; however, whether this framework—designed by a Delphi consensus involving 317 participants—can accommodate the multi-modal, individualized logic of Ayurvedic whole-system research, and whether its open-science provisions can be operationalized for Ayurvedic trials, has not been articulated. Main text Building on the EQUATOR Network’s framework for reporting-guideline development, we propose a conceptual framework and eleven candidate SPIRIT–Ayurveda extension items for future Delphi evaluation, rather than immediate implementation. The proposed framework integrates reproducibility, transparency, and open-science principles into protocol reporting for whole-system Ayurvedic clinical trials. We synthesize evidence of transparency gaps in registered Ayurvedic trials: only 64.8% of Traditional Indian Medicine trials reported randomization, below the 75.4% reported in Traditional Chinese Medicine, and a 2017 audit found that 73.6% of 507 CTRI-registered Ayurvedic trials were registered retrospectively — a historical baseline that predates CTRI’s April 2018 prospective-only registration mandate, leaving post-2018 compliance an open empirical question. We follow the precedent of established SPIRIT candidate extensions and the Good Clinical Trials for Traditional Medicine consensus, to propose 11 candidate Ayurveda-specific extensions (AE1–AE11), alongside a roadmap that includes prospective registration, open-data deposition, protocol preprinting, and material standardization. The development process is modeled on the modified nominal-group technique used by SPIRIT-CHMF 2025, with consensus defined a priori as ≥ 70% of the Delphi panel rating an item as critical (7–9 on a 9-point Likert scale) and < 15% rating it as limited importance; followed by pilot testing. Conclusion A proposed SPIRIT–Ayurveda extension grounded in reproducibility and open-science principles can act as a methodological bridge between Ayurvedic epistemology and the global evidentiary ecosystem—particularly given that a cross-sectional survey found 76.0% of complementary, alternative, and integrative medicine researchers actively publish open access but only 48.0% register study protocols and even fewer share raw data. Future evaluation of protocol sharing, pre-specification of analysis plans, and transparent reporting of traditional diagnostic criteria could contribute to a more reproducible research culture in Ayurvedic clinical research.

BMC Medical Research Methodology
Gujarat Ayurved University (IN), Mahatma Gandhi Ayurved College Hospital and Research Centre (IN)
Datta Meghe Institute of Higher Education and Research
Good health and well-being
Openalex Percentile: Top 52%
Meta-analysis and systematic reviews
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