Evidence map›Paper›PMID 37624147›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Feasibility of Sentinel Lymph Node Mapping With Carbon Nanoparticles in Cervical Cancer: A Retrospective Study.

Wei Sun, Xing Chen, Shilong Fu, Xiaohao Huang

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06697054 (Use of Charcoal Carbon Dye in Sentinel Lymph Node), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

NCT06697054 naactive not recruitingnot on this map

Use of Charcoal Carbon Dye in Sentinel Lymph Node (SLN) Mapping in Early Stage Cervical Cancer

TypeinterventionalSponsorIstanbul UniversityRan2024 to 2026Enrolled60ConditionsCervical CancersArmsSentinel node biopsy with either ICG or carbon dye injection to cervix
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Wei SunDepartment of Gynecology, The First Affiliated Hospital With Nanjing Medical University (Jiangsu Province Hospital), Nanjing, China.
Xing ChenDepartment of Gynecology, The First Affiliated Hospital With Nanjing Medical University (Jiangsu Province Hospital), Nanjing, China.ORCID 0000-0003-0670-2233
Shilong FuDepartment of Gynecology, The First Affiliated Hospital With Nanjing Medical University (Jiangsu Province Hospital), Nanjing, China.
Xiaohao HuangDepartment of Gynecology, The First Affiliated Hospital With Nanjing Medical University (Jiangsu Province Hospital), Nanjing, China.
Jiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis retrospective study aims to investigate the feasibility of using carbon nanoparticles to detect sentinel lymph nodes (SLNs) in cervical cancer.

methodsThis study involved 174 patients with cervical cancer. Cervix tissues adjacent to the cancer were injected with 1 mL of carbon nanoparticles (CNPs) at the 3 and 9 o'clock positions according to the instructions. The pelvic lymph nodes were then dissected, and the black-stained sentinel lymph nodes were sectioned for pathological examination.

resultsOf 174 cases, 88.5% of patients (154/174) had at least 1 sentinel lymph node, and 131 patients (75.29%) had bilateral pelvic sentinel lymph nodes. The left pelvic lymph node was the most common sentinel lymph node (34.16%). At least 1 sentinel lymph node was observed in 285 out of 348 hemipelvises, with a detection rate of a side-specific sentinel lymph node of 81.89%. In total, 47 hemipelvises had metastasis of the lymph node, and 33 involved the sentinel lymph node, with a sensitivity of 70.21% and a false-negative rate of 29.79%. There were 238 hemipelvises with no metastasis of the lymph node, as well as negative sentinel lymph nodes, with a specificity of 100% and a negative predictive value of 94.44%. The univariate analysis demonstrated that risk factors included tumor size (OR .598, 95% CI: .369-.970) and deep stromal invasion (OR .381, 95% CI: .187-.779). The deep stromal invasion was the only variable for the false-negative detection of a sentinel lymph node.

conclusionSentinel lymph node mapping with carbon nanoparticles might be applied to predict the metastasis of pelvic lymph nodes in cervical cancer. However, tumor size and deep stromal invasion might negative influence the detection rate of SLN.

Indexed as

NanoparticlesSentinel Lymph NodeUterine Cervical NeoplasmsCarbonFeasibility StudiesFemaleHumansLymphatic MetastasisLymph Node ExcisionLymph NodesNeoplasm StagingRetrospective StudiesSentinel Lymph Node BiopsyCarboncarbon nanoparticlescervical cancersentinel lymph node mapping

Identifiers

PMID37624147
PMCPMC10467164
OpenAlexW4386153364

What OpenQuestion holds

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LicenceCC BY-NC
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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.