Evidence map›Paper›PMID 35871726›Full record

ReviewSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2022

[Advances in Intraoperative Neurophysiological Monitoring Techniques in Transnasal Endoscopic Skull Base Surgery].

Xin Zan, Yuan Fang, Liang-Xue Zhou, Pei-Zhi Zhou, Jian-Guo Xu

Open access · greenAbstract readReview
In one paragraph

Review in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 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 85% 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

5 authors at 2 institutions in 1 country.

Xin ZanDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, China.
Yuan FangDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, China.
Liang-Xue ZhouDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, China.
Pei-Zhi ZhouDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, China.
Jian-Guo XuDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, China.
West China Hospital of Sichuan University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transnasal endoscopic skull base surgery has been increasing in volume in recent years and its indications are constantly expanding. The potential occurrence of intraoperative and postoperative neurovascular complications deserves special attention from neurosurgeons. Multimodal intraoperative neurophysiological monitoring technology allows neurosurgeons to monitor cerebral perfusion and the functional status of the associated cranial nerves in real time, thereby enabling surgeons to make prompt adjustments in surgical procedures and strategies and reduce the risks of postoperative neurological complications in patients. Based on available literature, we reviewed how appropriate monitoring strategies were optimized for different key components of transnasal endoscopic skull base procedures, intending to provide reference for clinicians.

Indexed as

Intraoperative Neurophysiological MonitoringEndoscopyHumansNeurosurgical ProceduresPostoperative ComplicationsSkull BaseIntraoperative neurophysiological monitoringNeurosurgerySkull base surgeryTransnasal endoscopy

Identifiers

PMID35871726
PMCPMC10409453
OpenAlexW4288045240

What OpenQuestion holds

Textmetadata
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.