Evidence map›Paper›PMID 32095405›Full record

ArticlePlastic and reconstructive surgery. Global open2020

Massive Localized Abdominal Lymphedema Treatment Challenges.

Khaled Al-Tarrah, Tarek Ashour, Rajashankar Rao, Sukhbir Rayatt, Sunil S Thomas

Open access · goldAbstract readCase Reports
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 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
0.1field-weighted citation impact, top 58% 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

5 authors at 2 institutions in 1 country.

Khaled Al-TarrahDepartment of Plastic Surgery, Queen Elizabeth Hospital, University Hospitals Birmingham Foundation Trust, Mindelsohn Way, Birmingham, UK.
Tarek AshourDepartment of Plastic Surgery, Queen Elizabeth Hospital, University Hospitals Birmingham Foundation Trust, Mindelsohn Way, Birmingham, UK.
Rajashankar RaoDepartment of Anaesthesia, Queen Elizabeth Hospital, University Hospitals Birmingham Foundation Trust, Mindelsohn Way, Birmingham, UK.
Sukhbir RayattDepartment of Plastic Surgery, Queen Elizabeth Hospital, University Hospitals Birmingham Foundation Trust, Mindelsohn Way, Birmingham, UK.
Sunil S ThomasDepartment of Plastic Surgery, Queen Elizabeth Hospital, University Hospitals Birmingham Foundation Trust, Mindelsohn Way, Birmingham, UK.
Queen Elizabeth Hospital · GBUniversity Hospitals Birmingham NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Massive localized lymphedema of the abdomen is a rare condition resulting from a neglected lower abdominal pannus associated with significant disability and morbidity. Compared to other surgical procedures, postbariatric surgery is usually considered a financial drain. In the United Kingdom, this requires National Health Service approval and delays may lead to sequelae that adversely impact on patients' quality of life with increased morbidity. We present a wheelchair-bound patient whose body mass index increased from 53 to 82, while awaiting funding approval increasing her anesthetic and surgical risks. A multidisciplinary approach is mandatory for preoperative, intraoperative, and postoperative care for these patients including anesthetic input and high dependency unit care. Managing this patient was a significant anesthetic and surgical challenge with 47-kg resected tissue. The planning and perioperative measures to minimize morbidity are discussed.

Identifiers

PMID32095405
PMCPMC7015591
OpenAlexW3001655500

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.