Evidence map›Paper›PMID 31723528›Full record

ArticleCureus2019

The Influence of Intraoperative Technology on Neurosurgery Training.

Alison Ho, Yasir R Khan, Eric Whitney, Anthony Jg Alastra, Javed Siddiqi

Abstract read
In one paragraph

Article in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Alison HoNeurosurgery, Desert Regional Medical Center, Palm Springs, USA.
Yasir R KhanNeurosurgery, Desert Regional Medical Center, Palm Springs, USA.
Eric WhitneyNeurosurgery, Desert Regional Medical Center, Palm Springs, USA.
Anthony Jg AlastraNeurosurgery, Desert Regional Medical Center, Palm Springs, USA.
Javed SiddiqiNeurosurgery, Desert Regional Medical Center, Palm Springs, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Intraoperative technology (IOT) is an expanding field designed to produce better patient outcomes and decrease iatrogenic injury. Neurosurgical residents often encounter these machines in the operating room. Therefore, our primary objective was to assess the influence of IOT on neurosurgery residents' surgical skills and training. Methods An electronic survey was created and sent to the neurosurgical residency programs in the state of California. The data were collected and analyzed. Results A majority of residents agreed that IOT helps in learning new concepts important for patient safety. 38% agreed that IOT helps to improve the motivation level of residents. 35% agreed that IOT makes the resident more productive. 31% felt that IOT helped them refine their surgical skills. 54% did not find IOT too stressful. 34% said that IOT helps in learning new concepts important for patient safety. 50% agree that IOT is a valuable tool in training. 42% affirmed that IOT provides good learning experience for clinical skills and knowledge. Conclusion Surgical training and IOT have evolved substantially over the last decade and resulted in increased intraoperative accuracy. Residents agreed that evolving technology improves surgical skills. Further studies elucidating patient outcomes are warranted.

Indexed as

intraoperativeneurosurgeryresident trainingtechnology

Identifiers

PMID31723528
PMCPMC6825494

What OpenQuestion holds

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LicenceCC BY
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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.