Evidence map›Paper›PMID 38893105›Full record

ReviewCancers2024

Systematic Review-Role of MRI in Cervical Cancer Staging.

Jason Chen, Yu Xuan Kitzing, Glen Lo

Abstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

3 authors.

Jason ChenDepartment of Radiology, Sir Charles Gairdner Osborne Park Health Care Group, Perth 6009, Australia.
Yu Xuan KitzingDepartment of Radiology, Royal Prince Alfred Hospital, Sydney 2050, Australia.
Glen LoDepartment of Radiology, Sir Charles Gairdner Osborne Park Health Care Group, Perth 6009, Australia.ORCID 0000-0001-6906-588X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A systematic review of the diagnostic accuracy of MRI in the staging of cervical cancer was conducted based on the literature from the last 5 years. A literature search was performed in the Cochrane Library, EMBASE, MEDLINE and PubMed databases using the MeSH terms "cervical cancer", "MRI" and "neoplasm staging". A total of 110 studies were identified, of which 8 fit the inclusion criteria. MRI showed adequate accuracy (74-95%) and high sensitivity (92-100%) in assessing stromal invasion. The data for MRI in terms of assessing vaginal and pelvic side wall involvement were wide ranging and inconclusive. In assessing lymph node metastasis, MRI showed an adequate accuracy (73-90%), specificity (75-91%) and NPV (71-96%) but poor sensitivity (52-75%) and PPV (52-75%). MRI showed high accuracy (95%), sensitivity (78-96%), specificity (87-94%), and NPV (98-100%) but poor PPV (27-42%) in detecting bladder involvement. There was a paucity of data on the use of MRI in assessing rectal involvement in cervical cancer. Overall, the literature was heterogenous in the definitions and language used, which reduced the comparability between articles. More research is required into the diagnostic accuracy of MRI in the staging of cervical cancer and there must be increased consistency in the definitions and language used in the literature.

Indexed as

cervical cancerMRIstaging

Identifiers

PMID38893105
PMCPMC11171278

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.