Evidence map›Paper›PMID 35317641›Full record

ArticleThe Journal of international medical research2022

Thoracoscopy-assisted treatment for mediastinal metastasis of thyroid cancer: a case report.

Liu Jie, Wang Meng

Open access · goldAbstract readCase Reports
In one paragraph

Article in The Journal of international medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Liu JieDepartment of Head and Neck Surgery, Cangzhou Clinical College of Integrated Traditional Chinese and Western Medicine of Hebei Medical University, Cangzhou, China.
Wang MengDepartment of Head and Neck Surgery, Cangzhou Clinical College of Integrated Traditional Chinese and Western Medicine of Hebei Medical University, Cangzhou, China.ORCID https://orcid.org/0000-0001-9651-5890
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced thyroid cancer with upper mediastinal lymph node metastasis is not rare in the clinical setting. For patients with severe metastasis, a thoracocervical incision is usually performed for dissection of lymph nodes. However, the difficult operation of three-port thoracoscopy to support performance of a cervical incision in the treatment of upper mediastinal lymph node metastasis has rarely been reported to date. We herein describe a case involving the treatment of thyroid cancer with upper mediastinal lymph node metastasis. The lymph node metastasis was severe, closely adhered to the innominate vein, and fused into a mass. Thoracoscopy with a cervical incision was performed and proved to be a highly difficult surgical maneuver. The patient recovered quickly after the operation. Repeat computed tomography showed no swollen metastatic lymph nodes, indicating that the dissection was thorough. Thoracoscopy with a neck incision is more difficult than conventional longitudinal split sternotomy in the treatment of upper mediastinal lymph node metastasis, but its advantages are less severe trauma and faster recovery. This procedure may be performed by surgeons with proficient skill in cervical surgery and thoracoscopy techniques.

Indexed as

Lymph Node ExcisionThyroid NeoplasmsHumansLymphatic MetastasisLymph NodesThoracoscopyadvanced thyroid cancercase reportmediastinal lymph node metastasisneck incisionThoracoscopytreatment

Identifiers

PMID35317641
PMCPMC8950032
OpenAlexW4220676412

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.