Evidence map›Paper›PMID 26309638›Full record

ArticleInternational journal of clinical and experimental medicine2015

Potential role for carbon nanoparticles identification and preservation in situ of parathyroid glands during total thyroidectomy and central compartment node dissection.

Jialei Gu, Jiafeng Wang, Xilin Nie, Wendong Wang, Jinbiao Shang

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from 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.

2 · The registry

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Jialei GuDepartments of Head and Neck Surgery, Zhejiang Cancer Hospital, Wenzhou Medical University China.
Jiafeng WangDepartments of Head and Neck Surgery, Zhejiang Cancer Hospital, Wenzhou Medical University China.
Xilin NieDepartments of Head and Neck Surgery, Zhejiang Cancer Hospital, Wenzhou Medical University China.
Wendong WangDepartments of Head and Neck Surgery, Zhejiang Cancer Hospital, Wenzhou Medical University China.
Jinbiao ShangDepartments of Head and Neck Surgery, Zhejiang Cancer Hospital, Wenzhou Medical University China.
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the potential role of intraoperative carbon nanoparticles (CN) injections for identification and preservation of parathyroid glands, thereby reducing the postoperative hypocalcaemia.

methods100 patients with thyroid cancer who underwent total thyroidectomy and central compartment node dissection (CCND) were randomly assigned to receive intraoperative injection of (CN) or not for identifying and preserving normal parathyroid glands.

resultsThere was no significantly difference for preoperative and postoperative parathyroid hormone (PTH) levels between the CN and control group (P>0.05). The levels of albumin-adjusted serum calcium (AASC) before surgery and at day 1 and 1 month after surgery did not reach the significant difference between the two groups (P>0.05). However, the patients in CN group had the higher level of AASC at day 3 after surgery than those in control group (P=0.044). Transient postoperative hypoparathyroidism occurred in 24 (48%) patients in CN group and 28 (56%) in control groups, respectively (P=0.423). The incidence of transient postoperative hypocalcemia was 20% (10/50) in CN group and 24% (12/50) in control groups, respectively (P=0.629).

conclusionsCarbon nanoparticles can make the thyroid gland and the central lymph node black-stained, but no-stained for parathyroid glands. After rapidly identifying parathyroid and distinguishing it from thyroid and lymph nodes by carbon nanoparticles, complete lymph node dissection and preservation of parathyroid glands become feasible during total thyroidectomy with neck lymph node dissection. After identification, strict adherence to capsular dissection remains essential for safe preservation in situ of the parathyroid glands and their blood supply.

Indexed as

carbon nanoparticleidentificationlymph node excisionParathyroid glandspreservationthyroid neoplasms

Identifiers

PMID26309638
PMCPMC4538139
OpenAlexW2415590014

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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.