Evidence map›Paper›PMID 36979090›Full record

ReviewBiology2023

Primary Melanoma of the Cervix Uteri: A Systematic Review and Meta-Analysis of the Reported Cases.

Konstantinos S Kechagias, Marina Zafeiri, Konstantinos Katsikas Triantafyllidis, Georgios Kyrtsonis, Georgios Geropoulos, Deirdre Lyons, Laura Burney Ellis, Sarah Bowden, Apostolia Galani, Maria Paraskevaidi and 1 more

Open access · goldFull text readReview
In one paragraph

Review in Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Two Cases of Primary Melanoma of the Uterine Cervix.The American journal of case reports · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

11 authors at 6 institutions in 1 country.

Konstantinos S KechagiasSociety of Meta-Research and Biomedical Innovation, London W12 0FD, UK.ORCID 0000-0001-6681-8479
Marina ZafeiriSociety of Meta-Research and Biomedical Innovation, London W12 0FD, UK.ORCID 0000-0003-3633-7564
Konstantinos Katsikas TriantafyllidisSociety of Meta-Research and Biomedical Innovation, London W12 0FD, UK.ORCID 0000-0002-3858-4473
Georgios KyrtsonisSociety of Meta-Research and Biomedical Innovation, London W12 0FD, UK.
Georgios GeropoulosDepartment of General Surgery, University College London Hospitals, London NW1 2BU, UK.
Deirdre LyonsImperial College Healthcare NHS Trust, London W2 1NY, UK.
Laura Burney EllisDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2BX, UK.
Sarah BowdenDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2BX, UK.
Apostolia GalaniDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2BX, UK.
Maria ParaskevaidiDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2BX, UK.
Maria KyrgiouDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2BX, UK.
Imperial College London · GBImperial College Healthcare NHS Trust · GBCroydon University Hospital · GBKing's College Hospital NHS Foundation Trust · GBRoyal Marsden Hospital · GBUniversity College Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary malignant melanoma (MM) of the cervix uteri is a rare and aggressive malignancy of the female reproductive tract. Considering that clinical data on this cancer are scarce, we aimed to comprehensively examine the currently available literature and provide an overview of the reported cases of cervical MM focusing on the clinical characteristics, diagnosis and therapeutic management. We conducted a systematic review of the literature by screening three electronic databases until June 2022. The critical appraisal checklist provided by the Joanna Briggs Institute was employed to evaluate the overall quality of the studies. We included 96 reports, which comprised 137 patients diagnosed with MM of the cervix. The mean age of the patients was 56.5 (median: 58, age range: 33-88). Data regarding menopausal status were provided for 98 patients with 15 being premenopausal and 83 being postmenopausal. The most common presenting symptom was vaginal bleeding (83%, 100/121). Biopsy (either excisional or punch biopsy) was used as the first diagnostic modality in most of the patients (67%, 64/95), followed by cytology (18%, 17/95). In 74 cases, the FIGO staging system for cervical cancer was used with the most common stage being FIGO stage I (38%, 28/74), followed by FIGO stage II (36%, 27/74), FIGO stage III (19%, 14/74) and FIGO stage IV (7%, 5/74). Most of the patients were managed surgically (90%, 119/131) with a hysterectomy (either radical or total), and a salpingo-oophorectomy with/without lymphadenectomy was the most common approach utilized (40%, 48/119). The data of clinical outcomes were provided for 105 patients, of whom 61 died (58%, 61/105) and 44 survived (42%, 44/105). Knowledge regarding the rare occurrence of MM in the cervix and the increased awareness of clinicians can prevent clinical misdiagnosis and ultimately improve further the clinical outcomes of patients developing this rare malignancy.

Indexed as

cervical cancercervix uterigynecological malignancymelanomamelanosis

Identifiers

PMID36979090
PMCPMC10045237
OpenAlexW4323047059

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read39
Read underepoch 390

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.