Evidence map›Paper›PMID 36478691›Full record

ArticleTrauma case reports2022

Burn trauma from a space heater requiring paraspinal muscle flap back reconstruction with skin grafting: A case report.

Katherine Stuart, John Culhane, Dan Brown, Philippe Mercier, Sumesh Kaswan, Heidi Israel, Vicki Moran

Open access · goldAbstract readCase Reports
In one paragraph

Article in Trauma case reports, 2022. 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, top 78% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

Katherine StuartSaint Louis University School of Medicine, St. Louis, MO, USA.
John CulhaneDepartment of Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA.
Dan BrownDepartment of Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA.
Philippe MercierDivision of Neurological Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA.
Sumesh KaswanDepartment of Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA.
Heidi IsraelDivision of Orthopedic Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA.
Vicki MoranDepartment of Surgery, Saint Louis University School of Medicine, St. Louis, MO, USA.
Saint Louis University · USSaint Louis University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Full-thickness burns damage all layers of skin and may also damage underlying tissue including bones, muscles, and tendons. Full-thickness burns almost always require immediate medical and surgical management. Some may require extensive bone, muscular, and other reconstructive surgery depending on the depth of involvement of surrounding tissues. Bone exposure in burn patients can lead to unique complications including osteomyelitis. We present the case of an elderly patient with a history of dementia who presented with full-thickness burns to the back with exposed spinal elements who later developed osteomyelitis requiring lumbar spine reconstruction with bilateral paraspinous muscle flap for back reconstruction, adjacent tissue transfer, and split thickness skin grafting. This case represents the severity of full-thickness burns with underlying bone exposure and the importance of aggressive wound care and multidisciplinary team approach.

Indexed as

Full-thickness burnsMultidisciplinary teamSkin graftWound care

Identifiers

PMID36478691
PMCPMC9720553
OpenAlexW4309811853

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.