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Not yet recruitingNCT06164522Updated Dec 20, 2023

Prediction of Intraoperative Adhesions Before CS

An observational study in Abdominal Adhesion, sponsored by Assiut University. Not yet recruiting. Open to female participants aged 18 Years to 35 Years. Per ClinicalTrials.gov, last updated 2023-12-20.

Sponsored by Assiut University · Observational

From the registry’s dates

  • Primary completion was expected by Jan 2025, 1 year 9 months ago, but the record still lists the study as not yet recruiting.
Study type
Observational
Model
Other
Time perspective
Cross-sectional
Enrollment
146
Ages
18 Years to 35 Years
Sex
Female
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Study summary

To predict the presence of intra-abdominal adhesions among women undergoing repeated cesarean section using several parameters.

Read the detailed description

One of the most frequently performed surgical procedures globally is cesarean delivery (CD). Cesarean delivery rate is increasing, which raises the prevalence of intra-abdominal adhesions . The rate of intra-abdominal adhesions is 24-83% . Adhesions cause various postoperative complications, including intestinal obstruction, pelvic pain, dyspareunia, infertility, visceral injury, delayed delivery of the newborn , prolong surgical duration, increase bleeding amount and the incidence of hysterectomy . For these reasons, obstetricians always want to identify the possible extent of adhesions before cesarean section. Although to date there was no reliable technique to predict adhesions in women undergoing repeat CD .

Methods used in the evaluation of adhesions include the previous cesarean scar features, pigmentation, width and length , ultrasound sliding sign has been used in predicting pelvic endometriosis ,Baron et al. ,used the sliding sign in predicting adhesions in women undergoing repeat CD, also Stretch marks are a type of skin alteration that occur during pregnancy.

To ensure better surgical outcomes and reduce morbidities, the accurate prediction of adhesion formations before cesarean section is important. This study aims to investigate the integration of multiple parameters, such as evaluating cesarean scars, ultrasound sliding sign, and striae gravidarum, to assess intra-abdominal adhesions. We hypothesize that employing a combination of these parameters will yield superior predictive capabilities compared to relying on a single parameter alone. By exploring a comprehensive approach to adhesion prediction, we endeavor to enhance the safety and efficacy of cesarean section procedures, ultimately improving maternal and fetal well-being.

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Conditions studied

  • Abdominal Adhesion

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03

In context

Tissue Adhesions

241 studies on the registry are indexed under Tissue Adhesions; 29 are open to participants now.

This study's planned enrollment of 146 is close to the median of 146 across 49 observational studies indexed under Tissue Adhesions.

Browse Tissue Adhesions studies →

Lead sponsor

Assiut University is the lead sponsor of 4,901 studies on the registry; 2,098 are open to participants now.

Of its 13 completed or terminated interventional studies of FDA-regulated products, 0 (0%) have results posted.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 35 Years
Sexes eligible
Female
Sampling method
Non-probability sample

Study population

  1. Pregnant women aged from 18 to 35 years
  2. Women with at least one previous C-section
  3. Gestational age (≥36 weeks)
  4. Planned elective cesarean section

Inclusion criteria

  1. Pregnant women aged from 18 to 35 years
  2. Women with at least one previous C-section
  3. Gestational age (≥36 weeks)
  4. Planned elective cesarean section

Exclusion criteria

Exclusion Criteria:

  1. primigravida
  2. Gestational age (\<36 weeks)
  3. Pregnant woman who had developed wound site infections following prior cesarean section
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Study design

Observational model
Other
Time perspective
Cross-sectional
Enrollment
146 participants (estimated)
Patient registry
No

Interventions

  • OtherAbdominal ultrasound

    Abdominal ultrasound to detect sliding sign

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What researchers measure

Primary outcomes

  1. Predicting presence of intra-abdominal adhesions among women undergoing repeated cesarean section using several parameters.

    Detection of intra-operative adhesions before repeated cesarean section by history, examination and ultrasound

    Time frame: From January 2024 to February 2025

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Study locations

No study locations are listed for this record.

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References and documents

Publications

  • Shenhav S, Grin L, Kapustian V, Anteby EY, Gdalevich M, Gemer O. Quantifying the effects of postcesarean adhesions on incision to delivery time. J Matern Fetal Neonatal Med. 2019 Aug;32(15):2500-2505. doi: 10.1080/14767058.2018.1439010. Epub 2018 Feb 20. PubMed 29415600 ↗
  • Mokhtari M, Yaghmaei M, Akbari Jami N, Roudbari M, Jalalvand D. Prediction of Intraperitoneal Adhesions in Repeated Cesarean Section Using Sliding Sign, Striae Gravidarum, and Cesarean Scar. Med J Islam Repub Iran. 2022 May 2;36:44. doi: 10.47176/mjiri.36.44. eCollection 2022. PubMed 36128300 ↗
  • Piessens S, Edwards A. Sonographic Evaluation for Endometriosis in Routine Pelvic Ultrasound. J Minim Invasive Gynecol. 2020 Feb;27(2):265-266. doi: 10.1016/j.jmig.2019.08.027. Epub 2019 Sep 4. PubMed 31493569 ↗
  • Awonuga AO, Fletcher NM, Saed GM, Diamond MP. Postoperative adhesion development following cesarean and open intra-abdominal gynecological operations: a review. Reprod Sci. 2011 Dec;18(12):1166-85. doi: 10.1177/1933719111414206. Epub 2011 Jul 20. PubMed 21775773 ↗
  • Dogan NU, Haktankacmaz SA, Dogan S, Ozkan O, Celik H, Eryilmaz OG, Doganay M, Gulerman C. A reliable way to predict intraabdominal adhesions at repeat cesarean delivery: scar characteristics. Acta Obstet Gynecol Scand. 2011 May;90(5):531-4. doi: 10.1111/j.1600-0412.2011.01080.x. Epub 2011 Mar 16. PubMed 21306338 ↗
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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Dec 20, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06164522
Lead sponsor
Assiut University
Responsible party
Ahmed Mahmoud Ahmed Essa (Doctor, Assiut University) — Principal investigator
First posted
Dec 11, 2023
Start date
Jan 1, 2024 (estimated)
Primary completion
Jan 2025 (estimated)
Completion
Feb 28, 2025 (estimated)
Last update
Dec 20, 2023

Study contacts

Ahmed Mahmoud Ahmed Essa, Doctor
Contact
ahmedessa678@yahoo.com
01008235474
Diaa El deen Mohammed Abd-Elaal El-Nashar, Professor
Contact
Abdelaald@yahoo.com
01005212137

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Dec 2023. You cannot join it, but the record below documents what was studied.

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