Trial reportFrontiers in endocrinology2023
Prevention of hypoparathyroidism: A step-by-step near-infrared autofluorescence parathyroid identification method.
Trial report in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
What it found
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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
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Pooled it
- Impact of Intraoperative Interventions on Hypocalcemia Post-Total Thyroidectomy: A Meta-Analysis.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-facialePooled it
- Unveiling the complexities of hypoparathyroidism: a comprehensive review of clinical manifestations, diagnosis, and novel therapies.Journal of endocrinological investigation · 2026Review
- Enhanced parathyroid identification and preservation in total thyroidectomy using combined near-infrared autofluorescence and carbon nanoparticles.Frontiers in surgery · 2026Article
- Learning curve in autofluorescence-guided thyroid surgery.Frontiers in endocrinology · 2026Article
- Autofluorescence enhances intraoperative detection of parathyroid glands: a single-center comparative study.Frontiers in endocrinology · 2026Article
- Identification of Parathyroid Glands Through Near-Infrared Autofluorescence During Thyroid Surgery: Retrospective Analysis of the Impact on Post-Operative Hypocalcemia Rate Reduction and Potential Improvement of Healthcare Expenditure.Medicina (Kaunas, Lithuania) · 2025Article
- Article
- Exploring near-infrared autofluorescence properties in parathyroid tissue: an analysis of fresh and paraffin-embedded thyroidectomy specimens.Journal of biomedical optics · 2025Article
- Lower Rates of Hypocalcemia Following Near-Infrared Autofluorescence Use in Thyroidectomy: A Meta-Analysis of RCTs.Diagnostics (Basel, Switzerland) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Hypoparathyroidism is an important factor that seriously affects the quality of life of patients after thyroidectomy. This study aimed to optimize the surgical procedure for parathyroid identification using near-infrared autofluorescence (NIRAF) during thyroidectomy. Methods: This was a prospective controlled study that included 100 patients with primary papillary thyroid carcinoma diagnosed in Beijing Tongren Hospital between June 2021 and April 2022 who were awaiting total thyroidectomy and bilateral neck dissection. The patients were randomly divided into an experimental group in whom step-by-step NIRAF imaging was used to identify parathyroid glands, and a control group in whom NIRAF was not used. Results: The number of parathyroid glands identified in the NIRAF group was higher than that in the control group (195 vs. 161, p=0.000, Z=-5.186). The proportion of patients with parathyroid glands inadvertently removed in the NIRAF group was lower than that in the control group (2.0% vs. 18.0%, respectively; p=0.008, χ Conclusions: The step-by-step NIRAF parathyroid identification method can effectively locate the parathyroid gland and protect its function.
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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.