Evidence map›Paper›PMID 35855059›Full record

ArticleJournal of neurosurgery. Case lessons2021

Calcified chronic subdural hematoma: illustrative case.

Rupesh Pakrasi, Payoz Pandey, Srijan Das, Shreya Datta, Dipti Saha

Abstract readCase Reports
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Rupesh PakrasiDepartments of General Surgery and Calcutta National Medical College and Hospital, West Bengal, India.
Payoz PandeyNeurosurgery, Calcutta National Medical College and Hospital, West Bengal, India.
Srijan DasMedical College and Hospital Kolkata, Calcutta National Medical College and Hospital, West Bengal, India.
Shreya DattaCalcutta National Medical College and Hospital, West Bengal, India; and.
Dipti SahaNilratan Sircar Medical College and Hospital, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCalcified chronic subdural hematomas (CCSDHs) are rare variants of chronic subdural hematomas (CSDHs) accounting to only 0.3-2.7% of CSDHs. Although the majority of the patients with CSDHs recover from surgery, there still is some doubt about its being applied to CCSDHs. OBSERVATIONS: In this case report, the authors present a case of a 75-year-old male presenting with deterioration of motor function in his left limbs over the course of 18 months and acute neurological deterioration in the form of altered sensorium for 7 days. The patient experienced an episode of aspiration in the preoperative period that led to deterioration of pulmonary function in the postoperative period. A chest radiograph showed diffuse patches suggesting pulmonary compromise. Computed tomography and magnetic resonance imaging (MRI) documented a large subdural collection at the right frontal and parietal hemisphere with calcification, which was successfully and completely removed by surgery. LESSONS: The chances of a subdural hematoma progressing to calcification is extremely rare. The presentation of this case was such that surgical intervention was the only option left for the patient. The presence of lacunar infarcts in the thalamus on MRI can also be attributed to the calcified hematoma.

Indexed as

calcified chronic subdural hematomaCCSDH = calcified chronic subdural hematomaCSDH = chronic subdural hematomaCTCT = computed tomographyGCS = Glasgow Coma ScaleMRIMRI = magnetic resonance imagingsurgery

Identifiers

PMID35855059
PMCPMC9265200

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Registered trials

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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.