Evidence map›Paper›PMID 38125522›Full record

ArticleHeliyon2023

Spontaneous spinal epidural hematoma (SSEH) after cesarean section under epidural anesthesia: A case report.

Hua Wu, Xuezhu Huang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Heliyon, 2023. 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
0.6field-weighted citation impact, top 28% 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

2 authors at 2 institutions in 1 country.

Hua WuDepartment of Anesthesiology, Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Chongqing, China.
Xuezhu HuangDepartment of Anesthesiology, Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Chongqing, China.
Children's Hospital of Chongqing Medical University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spontaneous spinal epidural hematoma (SSEH) is an uncommon condition that can lead to severe neurological injuries, often accompanied by back pain. Pregnancy is identified as a risk factor for SSEH. Early diagnosis of SSEH presents challenges due to its atypical manifestations and the use of intraspinal anesthesia and analgesic techniques. In this case, we present the instance of a 29-year-old woman who initially received epidural labor analgesia during the first stage of labor but subsequently required a cesarean section under epidural anesthesia according to amniotic fluid turbidity. Unfortunately, the anomalous recovery of neurological function in her left lower extremity was not given sufficient attention at an early stage, and paralysis in the non-puncture segment occurred 45.5 hours after the initial puncture. Interestingly, she did not experience any back pain during these procedures. MRI examination and consultation with neurosurgeons confirmed the diagnosis of SSEH, prompting the patient to undergo emergency decompression surgery. She made an incomplete recovery 17 months after the operation. This case emphasizes the importance of considering the possibility of SSEH in pregnant women undergoing epidural analgesia, highlighting the need for spinal imaging and early neurosurgical interventions to facilitate treatment.

Indexed as

Case reportCesarean sectionEpidural anesthesiaLabor analgesiaSpinal epidural hematoma

Identifiers

PMID38125522
PMCPMC10730741
OpenAlexW4388996439

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.