Evidence map›Paper›PMID 33988895›Full record

Observational studyBJOG : an international journal of obstetrics and gynaecology2021

The Large Uterus Classification System: a prospective observational study.

S Uccella, R M Kho, S Garzon, J Casarin, P C Zorzato, F Ghezzi

Open access · hybridAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BJOG : an international journal of obstetrics and gynaecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Robotic versus open hysterectomy for very large uterus (more than 1000 g): A bicentric retrospective study of 150 patients.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The Large Uterus Classification System: a prospective observational study.BJOG : an international journal of obstetrics and gynaecology · 2021
    Observational
  11. Hysterectomy for Large Uterus by Minimally Invasive Surgery (MIS).JSLS : Journal of the Society of Laparoendoscopic Surgeons
    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

6 authors at 3 institutions in 2 countries.

S UccellaDivision of Obstetrics and Gynaecology, Department of Maternal, Neonatal and Infant Health, ASL Biella, Biella, Italy.ORCID 0000-0002-4456-0822
R M KhoDepartment Obstetrics and Gynecology, Women's Health Institute, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0002-9511-3942
S GarzonDepartment of Obstetrics and Gynaecology, AOUI Verona, University of Verona, Verona, Italy.ORCID 0000-0002-5840-699X
J CasarinDepartment of Obstetrics and Gynaecology, F. Del Ponte Hospital, University of Insubria, Varese, Italy.ORCID 0000-0001-9519-1097
P C ZorzatoDivision of Obstetrics and Gynaecology, Department of Maternal, Neonatal and Infant Health, ASL Biella, Biella, Italy.
F GhezziDepartment of Obstetrics and Gynaecology, F. Del Ponte Hospital, University of Insubria, Varese, Italy.ORCID 0000-0003-3949-5410
University of Verona · ITUniversity of Insubria · ITCleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the Large Uterus Classification System (LUCS) ability to predict surgical outcomes and complications in total laparoscopic hysterectomies (TLHs) for large uteri.

designProspective observational study.

settingTwo referral centres. POPULATION OR SAMPLE: Three hundred and ninety-two women who underwent TLH for a large uterus (uterine fundus at or over the transverse umbilical line).

methodsBetween 2004 and 2019, the intraoperative LUCS was estimated in all patients. The LUCS considers the uterine and adnexal vascular pedicles displacement. Type 1 is without vascular pedicles displacement. Type 2 has the cephalad displacement of adnexal vascular pedicles. The uterine vessels displacement regardless of adnexal pedicles defines Type 3.

main outcome measuresPatients' characteristics with perioperative outcomes were prospectively collected and compared between the three types of large uteri.

resultsTwo hundred and fifty-one (64%), 82 (20.9%) and 59 (15.1%) women had Type 1, Type 2 and Type 3 uteri, respectively. Women with Type 1 uteri had a lower uterine weight, shorter operative time, less blood loss and lower complication rates than women with Types 2 and 3. The conversion rate to laparotomy in Type 1 was similar to that in Type 2 (odds ratio [OR] 0.98; 95% CI 0.32-3.56) but lower than Type 3 (OR 0.35; 95% CI 0.14-0.97); in Type 2 it was lower than Type 3, although without the conventional statistical significance (OR 0.36; 95% CI 0.13-1.13; P = 0.07). Multivariable analysis showed that the uterine Type (1 versus 2-3) was independently associated with the total complications rate (OR 2.00; 95% CI 1.09-3.68; P = 0.02).

conclusionsThe LUCS appears associated with surgical outcomes and complications, potentially stratifying the surgical risk and guiding the surgical technique in TLHs for large uteri. TWEETABLE ABSTRACT: The Large Uterus Classification System may predict outcomes in total laparoscopic hysterectomy of large uteri.

Indexed as

AdultAgedFemaleHumansHysterectomyLaparoscopyMiddle AgedOrgan SizeProspective StudiesUterine DiseasesFibroidslaparoscopic hysterectomylarge uteriLarge Uterus Classification System

Identifiers

PMID33988895
PMCPMC8362220
OpenAlexW3163123973

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.