Evidence map›Paper›PMID 34986187›Full record

ArticlePloS one2022

The diagnostic value of core needle biopsy in cervical cancer: A retrospective analysis.

Massimiliano Lia, Lars-Christian Horn, Paulina Sodeikat, Michael Höckel, Bahriye Aktas, Benjamin Wolf

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

6 authors at 1 institution in 1 country.

Massimiliano LiaDepartment of Gynecology and Obstetrics, University Hospital Leipzig, Leipzig, Germany.ORCID 0000-0001-8285-3792
Lars-Christian HornDivision of Gynecologic, Breast and Perinatal Pathology, University Hospital Leipzig, Leipzig, Germany.
Paulina SodeikatDepartment of Gynecology and Obstetrics, University Hospital Leipzig, Leipzig, Germany.
Michael HöckelDepartment of Gynecology and Obstetrics, University Hospital Leipzig, Leipzig, Germany.
Bahriye AktasDepartment of Gynecology and Obstetrics, University Hospital Leipzig, Leipzig, Germany.ORCID 0000-0002-5474-051X
Benjamin WolfDepartment of Gynecology and Obstetrics, University Hospital Leipzig, Leipzig, Germany.
University Hospital Leipzig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical carcinoma is a major cause of morbidity and mortality among women worldwide. Histological subtype, lymphovascular space invasion and tumor grade could have a prognostic and predictive value for patients' outcome and the knowledge of these histologic characteristics may influence clinical decision making. However, studies evaluating the diagnostic value of various biopsy techniques regarding these parameters of cervical cancer are scarce. We reviewed 318 cases of cervical carcinoma with available pathology reports from preoperative core needle biopsy (CNB) assessment and from final postoperative evaluation of the hysterectomy specimen. Setting the postoperative comprehensive pathological evaluation as reference, we analysed CNB assessment of histological tumor characteristics. In addition, we performed multivariable logistic regression to identify factors influencing the accuracy in identifying LVSI and tumor grade. CNB was highly accurate in discriminating histological subtype. Sensitivity and specificity were 98.8% and 89% for squamous cell carcinoma, 92.9% and 96.6% for adenocarcinoma, 33.3% and 100% in adenosquamous carcinoma respectively. Neuroendocrine carcinoma was always recognized correctly. The accuracy of the prediction of LVSI was 61.9% and was positively influenced by tumor size in preoperative magnetic resonance imaging and negatively influenced by strong peritumoral inflammation. High tumor grade (G3) was diagnosed accurately in 73.9% of cases and was influenced by histological tumor type. In conclusion, CNB is an accurate sampling technique for histological classification of cervical cancer and represents a reasonable alternative to other biopsy techniques.

Indexed as

AdenocarcinomaAdultBiopsy, Large-Core NeedleCarcinoma, Squamous CellFemaleHumansMiddle AgedPrognosisRetrospective StudiesSensitivity and SpecificityUterine Cervical Neoplasms

Identifiers

PMID34986187
PMCPMC8730459
OpenAlexW4225724190

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.