Evidence map›Paper›PMID 40004673›Full record

ReviewJournal of clinical medicine2025

Management of Bulky Tumors in Cervical Cancer: Limits of the Surgical Approach.

María Alonso-Espías, Fátima Pérez, Myriam Gracia, Ignacio Zapardiel

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. 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

4 authors.

María Alonso-EspíasGynecologic Oncology Unit, La Paz University Hospital, Paseo de la Castellana 261, 28046 Madrid, Spain.ORCID 0000-0001-5901-1730
Fátima PérezGynecology and Obstetrics, Rafael Méndez University Hospital, Ctra N-340, 30813 Lorca, Spain.
Myriam GraciaGynecologic Oncology Unit, La Paz University Hospital, Paseo de la Castellana 261, 28046 Madrid, Spain.
Ignacio ZapardielGynecologic Oncology Unit, La Paz University Hospital, Paseo de la Castellana 261, 28046 Madrid, Spain.ORCID 0000-0002-9175-7767

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The standard treatment for cervical tumors larger than 4 cm, known as bulky tumors, currently involves concurrent chemoradiotherapy followed by vaginal brachytherapy. However, radical surgery is an alternative option in some cases, particularly for those in which a combination of risk factors is not anticipated. Recent studies show that neoadjuvant chemotherapy may help reduce tumor size in these bulky tumors, enabling subsequent surgical intervention reducing the adverse effects derived from radiotherapy. Evidence about fertility sparing surgery in patients with bulky tumors is limited, although some retrospective studies reported good oncological outcomes when adequate tumor reduction is achieved through neoadjuvant chemotherapy. Moreover, the administration of adjuvant radiotherapy after radical surgery in patients with tumor sizes ≥ 4 cm in the final pathological report, combined with other intermediate risk factors for recurrence, remains a topic of debate. Current evidence indicates no significant differences in overall survival or disease-free survival between follow-up alone and the use of adjuvant radiotherapy in these cases, although further research is needed to refine treatment strategies for these patients. This narrative review aims to summarize the available evidence on the comprehensive management of bulky cervical tumors, addressing relevant issues and controversies in the field.

Indexed as

adjuvant radiotherapybulky tumorscervical cancerneoadjuvant chemotherapy

Identifiers

PMID40004673
PMCPMC11856161

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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.