Evidence map›Paper›PMID 40642693›Full record

ArticleCureus2025

Perioperative Nursing Interventions for a Morbidly Obese Patient Undergoing a Cesarean Section in the Ramp Position: A Case Report.

Kayoko Kusuhara, Reika Tachibana, Ryosuke Kumashiro, Kentaro Hara

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. 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
–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

1 citing paper in PubMed.

  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

4 authors.

Kayoko KusuharaDepartment of Nursing, National Hospital Organization (NHO) Nagasaki Medical Center, Nagasaki, JPN.
Reika TachibanaDepartment of Nursing, National Hospital Organization (NHO) Nagasaki Medical Center, Nagasaki, JPN.
Ryosuke KumashiroDepartment of Nursing, National Hospital Organization (NHO) Nagasaki Medical Center, Nagasaki, JPN.
Kentaro HaraDepartment of Fundamental Nursing, Kumamoto University, Kumamoto, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This case report describes a multidisciplinary perioperative nursing intervention for a morbidly obese woman in her 30s (BMI 50.9) undergoing elective cesarean section. The patient had severe obstructive sleep apnea and orthopnea, making the conventional supine position unsafe. A preoperative simulation involving obstetricians, anesthesiologists, surgical nurses, and clinical engineers was conducted to evaluate the feasibility of performing the surgery in the ramp position. The team also prepared emergency response protocols using a photo-based manual and preassembled equipment. During surgery, the patient was successfully positioned in the ramp position and underwent spinal anesthesia. Due to inadequate pain control, sedation was initiated, which led to respiratory depression requiring bilevel positive airway pressure (BiPAP) support. No intraoperative or postoperative complications, such as pressure injuries or nerve damage, were observed. The patient reported no psychological distress related to the positioning or simulation. This case highlights the importance of simulation-based planning and interprofessional collaboration in ensuring surgical safety for high-risk patients. Surgical nurses played a central role in coordinating the simulation and intraoperative care, emphasizing their contribution to perioperative team performance. This report offers a practical model for managing complex obstetric cases involving morbid obesity through nursing-led simulation and tailored patient-centered care.

Indexed as

cesarean section (cs)ectopic pancreasheterotopic pancreasmorbid obesityperioperative nursingramp positionsimulation-based preparationsleeve gastrectomysubmucosal lesions

Identifiers

PMID40642693
PMCPMC12242070

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.