Evidence map›Paper›PMID 29620662›Full record

ArticleMedicine2018

Good outcomes after the delayed removal of an epidural hematoma: A case report.

Yong-Xing Yao, Ming-Xia Li, Lian-Juan Sun

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Delayed postoperative spontaneous spinal epidural hematoma: Case based review.International journal of surgery case reports · 2024
    Article
  2. Article
  3. Review
  4. 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

3 authors at 1 institution in 1 country.

Yong-Xing YaoDepartment of Anesthesia, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Ming-Xia Li
Lian-Juan Sun
First Affiliated Hospital Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleEpidural hematomas can develop following intrathecal puncture, spinal vascular malformation, or spontaneous hemorrhage. Prompt recognition of symptoms and referral to neurosurgical services are crucial for recovery. We report a rare case of delayed removal of an epidural hematoma that resulted in good patient outcomes. PATIENT CONCERNS: A 69-year-old woman weighing 58 kg presented with back pain that had persisted for 12 years. Her medical history was notable for hypertension. Cervical computed tomography angiography indicated a giant abdominal aortic aneurysm measuring 11.58 × 17.34 × 13.00 cm in her abdominal cavity. Stent graft implantation was scheduled by the interventional therapy group to treat her abdominal aortic aneurysm under single-dose spinal anesthesia. Postoperatively, the patient complained of numbness and swelling of her lower extremities, with progressive paralysis developing in both legs accompanied with sensory disturbances. DIAGNOSES: Delayed magnetic resonance imaging detected an epidural hematoma.

interventionsEighty hours after the onset of sensorimotor symptoms, lumbar decompression and removal of the hematoma were performed via laminectomy under general anesthesia. OUTCOMES: The patient was discharged 2 months after the operation with a 3/5 score on the Muscle Strength Grading System. LESSONS: Laminectomy may be effective in achieving a good prognosis despite a considerable delay in diagnosis.

Indexed as

AgedAnesthesia, SpinalDelayed DiagnosisFemaleHematoma, Epidural, SpinalHumansLaminectomyLumbar VertebraeParalysisTime-to-Treatment

Identifiers

PMID29620662
PMCPMC5902259
OpenAlexW2796296394

What OpenQuestion holds

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LicenceCC BY-SA
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.