Evidence map›Paper›PMID 36147415›Full record

ArticleMedical journal, Armed Forces India2022

Bilateral cranial nerve involvement with facial asymmetry in a case of goldenhar syndrome.

Shikha Pandey, Alok Sati, Poninder Kumar, Jaya Kaushik

Open access · greenAbstract readCase Reports
In one paragraph

Article in Medical journal, Armed Forces India, 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 92% 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

4 authors at 2 institutions in 1 country.

Shikha PandeyResident, Department of Ophthalmology, Armed Forces Medical College, Pune, India.
Alok SatiProfessor (Ophthalmology), Army Hospital (R&R), New Delhi, India.
Poninder KumarProfessor & Head, Department of Ophthalmology, Armed Forces Medical College, Pune, India.
Jaya KaushikProfessor, Department of Ophthalmology, Armed Forces Medical College, Pune, India.
Armed Forces Medical College · INArmy Hospital Research and Referral · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 9-year-old male patient presented with recurrent episodes of corneal ulcers in both eyes since the age of 2 years. The patient had profound bilateral hearing loss and multiple left-sided preauricular skin tags. He was diagnosed with neurotropic keratitis with bilateral corneal anesthesia in both eyes and on further work-up was diagnosed to have Goldenhar Syndrome with features of left-sided facial skeletal hypoplasia and bilateral auditory nerve atresia. The patient was managed by multiple specialities with standard of care medications, therapies, and procedures and is presently thriving. Goldenhar syndrome is a rare congenital disorder which involves ocular, auricular, and cranial nerves along with facial and vertebral anomalies. The insufficient knowledge of its pathogenesis and variable clinical presentations present a challenge in timely diagnosis and management of these cases. The involvement is generally unilateral and unilateral skeletal asymmetry with bilateral cranial nerve involvement is a rare event. The wide variation in clinical presentation and under diagnosis of these cases in India mandates a better understanding of this entity among medical professionals to facilitate early diagnosis and favorable clinical outcomes.

Indexed as

Corneal anesthesiaGoldenhar syndromeNeurotropic keratitisSensori-neural hearing loss

Identifiers

PMID36147415
PMCPMC9485750
OpenAlexW3042811664

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.