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Record W4409736660 · doi:10.4103/ijd.ijd_973_23

A Cross-Sectional Study on Cosmetovigilance in India: From the Dermatologist’s Perspective

2025· article· en· W4409736660 on OpenAlex
Manjula Nayak, Virendra S Ligade

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIndian Journal of Dermatology · 2025
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCross-sectional studyPerspective (graphical)DermatologyFamily medicinePathologyVisual arts

Abstract

fetched live from OpenAlex

Dear Editor, “Cosmetovigilance is a term used for the activities related to the collection, evaluation and monitoring of spontaneous reports of undesirable events observed during or after normal or reasonably foreseeable use of a cosmetic product”. Vigan et al. and Castelain et al.[1] were the first to use it in the literature (1997). The cosmetovigilance system for cosmetics was established by the French health products safety agency. Some counties like China, South Korea and Taiwan have introduced the cosmetovigilance system. Though India lacks this at present, a formal cosmetovigilance system is the need of the hour for India. In formal cosmetovigilance systems, the regulatory agencies are in charge of gathering side effects of cosmetics (ACRs) reported by various professional categories, such as medical professionals, general practitioners and public health services.[2] As dermatologists play crucial role in advising or prescribing cosmeceutical/cosmetics products their experiences, views and suggestions become significant in the development of the cosmetovigilance system. This is the qualitative, cross-sectional study. Primary data were obtained with the help of structured questionnaire using Google Forms. The Institutional Ethics Committee (IEC) granted ethical approval (IEC No: 585/2020). A sample of 30 dermatologists were selected for deploying the questionnaire with selection criteria includes the dermatologists from South India who had more than 1 year of clinical practice experience in dermatology. Based on convenience of approach, we have chosen the participants. When surveys were not returned within a present time frame, two staged reminders were sent. Data analysis: Analysis was purely a descriptive data. A questionnaire was deployed to 30 dermatologists, and a total of 25 (83.3%) responses were obtained. Figure 1 found that around 20 (80%) dermatologists responded that they are not aware about the concept of cosmetovigilance system. Around 19 (76%) dermatologists said that the concept to cosmetovigilance is not popularized in India. Majority of the dermatologists (96%) responded that implementation of cosmetovigilance system in India can boost the confidence of safe use of the products. This study found that 80% of dermatologists have not reported adverse cosmetics events in patients.Figure 1: Concept on cosmetovigilanceProposed Adverse Cosmetic/Cosmeceutical Events Reporting Form for Healthcare Professions in India [Table 1]Table 1: Proposed adverse cosmetic/cosmeceutical events reporting formWhat to report Serious adverse events should be reported. The reaction is serious when the patient’s outcome is life threatening, death, hospitalization, disabilities etc. Nonserious adverse events also need to be reported. Who can report? All health care professionals can report the adverse reactions within 7 calendar day. Where to report? Adverse reaction monitoring centre (AMC) should be present in each district. Health care professionals need to report the adverse events to AMC or to the regulatory authorities (CDSCO). Health care professionals can call to the toll-free number to report the adverse events. Finally, the regulatory authorities need to take the strict action against recall of that products or cancellation of product.[3] In our study, most of the dermatologist have not reported the side effects due the absence of reporting system, so it is better to develop an adverse event reporting system in India. Any physician can report to PvPI by his own without even contacting the AMC; this initiation can help the society to overcome from the incident of adverse events. Our study found that cosmetovigilance in India is not popularized. It should be thought in detail to the health care provider so that the adverse events can be minimized. Few countries have attempted to implement the adverse reporting system related to cosmetic/cosmeceutical products. Cosmetovigilance system in various countries Europe: According to the EU Cosmetics Regulation (EC) No. 1223/2009, companies are required to compile and evaluate reports of harmful effects on consumers’ health due to the cosmetic items they sell. Unwanted consequences must be informed to the national authorities.[4] Canada: The Natural Health Products (NHP) Regulations, which came into effect in January 2004, urge both patients and healthcare professionals to report any unwanted ADR. Within 15 days of the ADR, the occurrence must be reported.[4] United States: The FDA encourages consumers, businesses and healthcare workers to report adverse drug reactions (ADRs) associated with cosmetics. Through MedWatch, ADRs can be reported to the FDA by contacting the hotline or submitting an online form.[5] Well-organized adverse events reporting form should be created for Indian context. Adverse events reporting form should be available to all, especially in online portals, and at hospitals and clinics. It should be easy to fill and in simple language. Family medicine doctors and other primary care providers are crucial in identifying ADRs brought on by cosmetic items and enticing people to report them, and appropriate action should be initiated towards a report. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.396
Teacher spread0.357 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it