Evidence map›Paper›PMID 41441521›Full record

ArticleReports (MDPI)2025

Multiple Postoperative Neuropathies in a Morbidly Obese Patient Undergoing Open Total Hysterectomy: A Case Report.

Mugi Kawafune, Joho Tokumine, Harumasa Nakazawa, Kiyoshi Moriyama

Abstract readCase Reports
In one paragraph

Article in Reports (MDPI), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mugi KawafuneDepartment of Anesthesiology, Kyorin University School of Medicine, 6-20-2 Sinkawa, Mitaka 181-8611, Tokyo, Japan.
Joho TokumineDepartment of Anesthesiology, Kyorin University School of Medicine, 6-20-2 Sinkawa, Mitaka 181-8611, Tokyo, Japan.ORCID 0000-0003-3481-2085
Harumasa NakazawaDepartment of Anesthesiology, Kyorin University School of Medicine, 6-20-2 Sinkawa, Mitaka 181-8611, Tokyo, Japan.ORCID 0000-0002-3258-9310
Kiyoshi MoriyamaDepartment of Anesthesiology, Kyorin University School of Medicine, 6-20-2 Sinkawa, Mitaka 181-8611, Tokyo, Japan.ORCID 0000-0002-0387-5406

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Clinical Significance: Morbid obesity is a recognized risk factor for perioperative neuropathies, but simultaneous involvement of multiple peripheral nerves is rare. Case presentation: We report a 49-year-old woman (BMI 45) who underwent open total hysterectomy under combined general and epidural anesthesia in the supine position with Trendelenburg tilt. Despite preoperative positioning simulation, she developed postoperative numbness of the left fingers and bilateral upper limb weakness, followed by bilateral lower limb weakness and severe right thigh pain. Imaging excluded epidural hematoma. Iliopsoas weakness persisted despite epidural discontinuation. Rehabilitation and pregabalin partially improved symptoms, but sensory deficits and gait disturbance remained. At long-term follow-up, she was able to ambulate with a Lofstrand crutch, although right thigh numbness persisted. Two years postoperatively, diabetes mellitus was diagnosed. Conclusions: Morbid obesity may predispose to multiple perioperative neuropathies through mechanical compression and metabolic vulnerability. Careful intraoperative reassessment of pillow height, limb position, and retractor placement, combined with early recognition and multidisciplinary management, is essential to prevent neuropathy and optimize recovery.

Indexed as

femoral nerve injuryhysterectomylateral femoral cutaneous nervemorbid obesityperioperative positioningpostoperative neuropathy

Identifiers

PMID41441521
PMCPMC12736961

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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.