Trial reportJAMA surgery2025
Near-Infrared Autofluorescence for Parathyroid Detection During Endocrine Neck Surgery: A Randomized Clinical Trial.
Trial report in JAMA surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 6 registered trials, which are not on this map. Cited by 9 papers.
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.
Assessing Benefits of Near Infrared Autofluorescence (NIRAF) Detection for Identifying Parathyroid Glands During Total Thyroidectomy.
Evaluating Impact of Near Infrared Autofluorescence (NIRAF) Detection for Identifying Parathyroid Glands During Parathyroidectomy
Evaluating Impact of Near Infrared Autofluorescence (NIRAF) Detection for Identifying Parathyroid Glands During Parathyroidectomy
Assessing Benefits of Near Infrared Autofluorescence (NIRAF) Detection for Identifying Parathyroid Glands During Total Thyroidectomy
Evaluating Impact of Near Infrared Autofluorescence (NIRAF) Detection for Identifying Parathyroid Glands During Parathyroidectomy
Assessing Benefits of NIRAF Detection for Identifying Parathyroid Glands During Total Thyroidectomy
Who cites it
9 citing papers in PubMed.
- Factors influencing identification accuracy rate of parathyroid glands using near-infrared autofluorescence during endoscopic thyroidectomy.Surgery open science · 2026Article
- Research status and frontier trends of near-infrared autofluorescence for parathyroid identification and protection: a bibliometric analysis from 2006 to 2026.Gland surgery · 2026Article
- NIR autofluorescence allows for pituitary gland detection during surgery: evidence from microscopic studies and in vivo measurements.Biomedical optics express · 2026Article
- Illuminating the future: assessing probe-based near-infrared autofluorescence for parathyroid detection in endocrine surgery.Gland surgery · 2026Article
- Parathyroid autofluorescence: can we find without searching?Gland surgery · 2026Article
- Near infrared autofluorescence for parathyroid detection during thyroid and parathyroid surgery: a valuable medical device but not a substitute for surgical experience and volume.Gland surgery · 2026Article
- Autofluorescence enhances intraoperative detection of parathyroid glands: a single-center comparative study.Frontiers in endocrinology · 2026Article
- Enhanced parathyroid identification and preservation in total thyroidectomy using combined near-infrared autofluorescence and carbon nanoparticles.Frontiers in surgery · 2026Article
- Standardizing the reporting of postoperative hypoparathyroidism following thyroidectomy: consensus statement from the European Society of Endocrine Surgeons, the American Association of Endocrine Surgeons, and the International Association of Endocrine Surgeons.The British journal of surgery · 2025Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Inadvertent removal and damage to parathyroid glands (PGs) can lead to hypoparathyroidism, making it crucial to accurately identify and preserve these glands during parathyroidectomy and thyroidectomy. Objective: To assess if fiber-based near-infrared autofluorescence (NIRAF) increases the number of intraoperatively identified PGs and reduces the occurrence of hypoparathyroidism. Design, Setting, and Participants: This multicenter randomized clinical trial with a 6-month follow-up was conducted between March 2020 and July 2024. It included 4 medical centers across the US, 4 senior (more than 10 years of experience) and 3 junior (less than 5 years of experience) surgeons. A total of 754 patients were enrolled and 752 were randomized, including 398 patients (2 withdrew) who underwent parathyroidectomy and 354 patients who had total/completion thyroidectomy. Data were analyzed from March 2020 to January 2025. Interventions: Use of fiber-based NIRAF during thyroidectomy and parathyroidectomy. Main Outcomes and Measures: The primary outcome was the mean number of PGs identified intraoperatively. The secondary outcome was the rate of hypoparathyroidism (transient and at last follow-up). Results: Of 752 patients randomized, 712 were analyzed for the primary outcome (94.4%) (overall median [IQR] age, 59 [25] years; 516 females [68.4%]). A total of 161 underwent parathyroidectomy with NIRAF, while 159 had conventional surgery. Additionally, 176 underwent thyroidectomy using NIRAF and 178 had traditional surgery. The mean number of PGs identified during parathyroidectomy was not significantly higher when using NIRAF for focused procedures (mean, NIRAF, 1.6; 95% CI, 1.4-1.8 vs control, 1.5; 95% CI, 1.4-1.7). During bilateral explorations, the surgeons improved in the mean number of PGs identified when using NIRAF (mean NIRAF, 3.5; 95% CI, 3.4-3.7 vs control, 3.2; 95% CI, 3.0-3.4; P < .001). During thyroidectomy, the mean number of PGs identified increased when using NIRAF (mean NIRAF, 3.3; 95% CI, 3.2-3.4 vs control, 2.8; 95% CI, 2.7-3.0; P < .001). There was no significant difference in hypoparathyroidism after thyroidectomy, either transient (NIRAF: 48 of 173 patients [27.8%]; control: 44 of 169 patients [26%]) or at the last follow-up (NIRAF: 3 of 176 patients [1.7%]; control: 6 of 176 patients [3.4%]). Conclusions and Relevance: Fiber-based NIRAF can increase the number of PGs identified during thyroidectomy and bilateral exploration parathyroidectomy without increasing the duration of the surgery. Trial Registration: ClinicalTrials.gov Identifiers: NCT05579782, NCT05022667, NCT05022641, NCT04281875, NCT04299425, NCT05152927.
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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.