Evidence map›Paper›PMID 42736813›Full record

ArticleMedicine2026

Successful treatment of massive stage IIIB cervical cancer with a spindle cell component: A case report.

Hua Jin, Zhengri Piao, Weibo Wen

Abstract readCase Reports
In one paragraph

Article in Medicine, 2026. 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
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.

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

3 authors.

Hua JinDepartment of Radiation Oncology, The Affiliated Hospital of Yanbian University (Yanbian Hospital), Yanji, Jilin, China.ORCID 0009-0009-2491-7829
Zhengri PiaoDepartment of Radiation Oncology, The Affiliated Hospital of Yanbian University (Yanbian Hospital), Yanji, Jilin, China.ORCID 0000-0002-7651-1582
Weibo WenDepartment of Nuclear Medicine, The Affiliated Hospital of Yanbian University (Yanbian Hospital), Yanji, Jilin, China.ORCID 0000-0003-3404-2738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleCervical cancer is one of the most common malignancies in women worldwide. Tumors larger than 10 cm in diameter are rarely encountered, and no standard protocol exists for treating them. This case serves as a reference for managing similarly giant tumors and illustrates how a sequential multimodal strategy can downstage the disease. PATIENT CONCERNS: A 33-year-old woman presented with a cervical mass of 14 × 13 × 13 cm, 6 months of intermittent vaginal bleeding, and 1 month of progressive fatigue. DIAGNOSES: Biopsy confirmed stage IIIB cervical squamous cell carcinoma (International Federation of Gynecology and Obstetrics 2021) with a partial spindle cell component.

interventionsBecause of the tumor size, neoadjuvant chemotherapy was given first to reduce tumor burden; concurrent chemoradiotherapy and bevacizumab were then administered. OUTCOMES: Complete remission was achieved after the planned treatment sequence. Imaging at 6 months of follow-up showed no recurrence or metastasis. LESSONS: Individualized sequential multimodal therapy can produce complete remission in massive cervical squamous cell carcinoma. Neoadjuvant chemotherapy followed by concurrent chemoradiotherapy plus bevacizumab may be a curative option for selected patients with bulky stage IIIB disease.

Indexed as

Carcinoma, Squamous CellUterine Cervical NeoplasmsAdultBevacizumabChemoradiotherapyFemaleHumansNeoadjuvant TherapyNeoplasm StagingPathologic Complete ResponseTreatment OutcomeBevacizumabbevacizumabchemoradiotherapymassive cervical squamous cell carcinomaneoadjuvant chemotherapyspindle cell component

Identifiers

PMID42736813
PMCPMC13574378

What OpenQuestion holds

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Registered trials

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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.