Evidence map›Paper›PMID 33080673›Full record

ArticleMedicine2020

Distribution patterns of lymph node metastasis in early stage invasive cervical cancer.

Yuanyuan Chen, Chenyan Fang, Ke Zhang, Qinghua Deng, Ping Zhang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. The distribution pattern of pelvic lymph nodal metastases in cervical cancer.Journal of cancer research and clinical oncology · 2023
    Article
  2. Article
  3. Article
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

5 authors at 2 institutions in 1 country.

Yuanyuan ChenDepartment of Radiation Oncology, Hangzhou Cancer Hospital.
Chenyan FangDepartment of Gynecologic Oncology, Zhejiang Cancer Hospital, Hangzhou, China.
Ke ZhangDepartment of Radiation Oncology, Hangzhou Cancer Hospital.
Qinghua DengDepartment of Radiation Oncology, Hangzhou Cancer Hospital.
Ping ZhangDepartment of Gynecologic Oncology, Zhejiang Cancer Hospital, Hangzhou, China.
Hangzhou Cancer Hospital · CNZhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial distribution of lymph node (LN) metastasis was analyzed to provide data for an evidence-based approach to radiotherapy field design, particularly for guiding intensity-modulated radiation therapy. A total of 1886 postoperative patients were retrospectively reviewed. Pelvic LNs were classified as common iliac nodes, external iliac nodes, internal iliac nodes/obturator nodes, and deep inguinal nodes. The distribution of LN metastasis in these subgroups was calculated, and the distribution patterns of LN metastasis according to the pathologic types were investigated.We identified 392 eligible patients with LN metastasis. The frequency and number of external iliac node metastasis were higher in the left side in both single subgroup (P < .01) and cosubgroup (P = .04) analyses, whereas few differences were found in other subgroups. Among patients with squamous cell carcinoma, left external iliac node metastasis was observed in 102 (15.13%) patients, whereas right metastasis was observed in 65 (9.64%) patients, and the difference was significant (P < .01).The present results indicated uneven distribution of LN metastasis in the different subgroups, which could help surgeon focus on the dissection of the left subgroups, and help oncologists define margins, refine target volumes for radiation, and improve the accuracy of postoperative radiotherapy especially in patients with squamous cell carcinoma.

Indexed as

Lymphatic MetastasisAdultAgedFemaleHumansLymph Node ExcisionMiddle AgedNeoplasm InvasivenessNeoplasm StagingRetrospective StudiesUterine Cervical Neoplasms

Identifiers

PMID33080673
PMCPMC7571995
OpenAlexW3094137608

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.