Evidence map›Paper›PMID 32982256›Full record

ArticleTherapeutics and clinical risk management2020

Effect of Time Interval Between LEEP and Subsequent Hysterectomy on Postoperative Infectious Morbidity.

Ting Ni, Yaping Meng, Yuhong Li, Qinfang Chen, Yong Huang, Lihua Wang, Xiaolei Qian, Yudong Wang

Open access · goldAbstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 2 countries.

Ting NiDepartment of Gynecologic Oncology, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, People's Republic of China.
Yaping MengDepartment of Gynecologic Oncology, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, People's Republic of China.
Yuhong LiDepartment of Gynecologic Oncology, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, People's Republic of China.
Qinfang ChenDepartment of Gynecologic Oncology, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, People's Republic of China.
Yong HuangDepartment of Gynecologic Oncology, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, People's Republic of China.
Lihua WangDepartment of Gynecologic Oncology, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, People's Republic of China.
Xiaolei QianDepartment of Gynecologic Oncology, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, People's Republic of China.
Yudong WangDepartment of Gynecologic Oncology, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, People's Republic of China.
International Peace Maternity & Child Health Hospital · CNShanghai Jiao Tong University · CNGynecologic Oncology Group · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to provide insight into the effect of time interval between loop electrosurgical excision procedure (LEEP) and subsequent hysterectomy on postoperative infectious morbidity in cervical neoplasia patients.

methodsIn this retrospective cohort study, a total of 1172 medical records of patients who were diagnosed with high grade cervical intraepithelial neoplasia (HSIL) or invasive cancer underwent a subsequent hysterectomy after LEEP at the International Peace Maternity and Child Health Hospital (IPMCH) in Shanghai, China from January 2008 to December 2019 were collected. The study outcome was postoperative infectious morbidity within 30 days after a hysterectomy. Overall and surgical approach specific effect of time interval on infectious morbidity was estimated using logistic regression in crude and adjusted models.

resultsThere was an inverse association between time interval and postoperative infectious morbidity in HSIL or invasive cancer patients (OR=0.99, 95% CI: 0.98-1.00, p=0.0079). When trisecting time interval into three parts, the top tertile time interval (34-90 days) was also inversely associated with infectious morbidity compared with bottom tertile (0-16 days), independent of stage, surgical approach, operative time and estimated blood loss (OR=0.66,95% CI: 0.43-1.00, P=0.0487). A test for interaction between time interval and surgical approach on infectious morbidity was significant (P values for interaction= 0.0352). Longer time interval significantly reduced the risk of infectious morbidity in the laparoscopic group (OR = 0.37, 95% CI: 0.17-0.78), while no statistically significant effects were observed in patients who underwent vaginal or open abdominal hysterectomy.

conclusionThe time interval and surgical approach can interactively affect the risk of postoperative infectious morbidity in cervical neoplasia patients who underwent a hysterectomy after LEEP. Our data suggest that compared with vaginal or open abdominal hysterectomy, laparoscopic hysterectomy required a longer time interval (34-90 days) to reduce the risk of infectious morbidity.

Indexed as

cervical cancerhysterectomyLEEPtime interval

Identifiers

PMID32982256
PMCPMC7490066
OpenAlexW3084301891

What OpenQuestion holds

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LicenceCC BY-NC
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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.