Evidence map›Paper›PMID 37821032›Full record

ArticleWorld neurosurgery2023

Frailty Predicts Worse Pain Outcomes for Older TN Patients Treated with Microvascular Decompression.

Collin B Kilgore, Anita L Kalluri, Sumil K Nair, Kyra M Halbert-Elliot, Emeka Ejimogu, Bryan Dong, Sachiv Chakravarti, Mostafa W Abdulrahim, Christopher M Jackson, Michael Lim and 3 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World neurosurgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

13 authors at 2 institutions in 1 country.

Collin B KilgoreDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Medical Scientist Training Program, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Anita L KalluriDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sumil K NairDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Kyra M Halbert-ElliotDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Emeka EjimoguDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Medical Scientist Training Program, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Bryan DongDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sachiv ChakravartiDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Mostafa W AbdulrahimDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Christopher M JacksonDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Michael LimDepartment of Neurosurgery, Stanford University School of Medicine, Palo Alto, California, USA.
Judy HuangDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Chetan BettegowdaDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Risheng XuDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. Electronic address: rxu4@jhmi.edu.
Johns Hopkins University · USStanford University · US

Funding

Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

backgroundTrigeminal neuralgia (TN) is a debilitating orofacial pain disorder. Recent data from a national database suggest that microvascular decompression (MVD) in frail patients is associated with more postoperative complications. However, the long-term pain outcomes for frail TN patients are not known. We aimed to elucidate the relationship between frailty and long-term pain outcomes after MVD for TN.

methodsFrom 2007 to 2020, 368 TN patients aged ≥60 years underwent MVD at our institution. Patient demographics, clinical characteristics, postoperative complications, and long-term pain outcomes were recorded. Frailty was assessed using the modified 5-item frailty index (mFI-5) score, and the patients were dichotomized into nonfrail (mFI-5 <2) and frail (mFI-5 >1). Differences were assessed via the t test, χ

resultsOf the 368 patients analyzed, 9.8% were frail. The frail patients were significantly older (P = 0.02) with a higher body mass index (P = 0.01) and a greater incidence of comorbidities (P < 0.001). Frail patients presented with significantly higher pain levels at the final follow-up (P = 0.04). On multivariate analysis, frailty was independently associated with more pain at follow-up (P = 0.01), as was younger age, female sex, and black race. The relationship between frailty and postoperative pain recurrence showed a trend toward significance (P = 0.06), and younger age and black race were significantly associated with recurrence.

conclusionsFrail patients undergoing MVD are at risk of worse long-term pain outcomes. Our results provide clinicians with useful information pertaining to the influence of frailty on the long-term efficacy of MVD in treating TN.

Indexed as

FrailtyMicrovascular Decompression SurgeryTrigeminal NeuralgiaFacial PainFemaleHumansPostoperative ComplicationsRetrospective StudiesTreatment OutcomeFacial painFrailtyMicrovascular decompressionTrigeminal neuralgia

Identifiers

PMID37821032
PMCPMC11104275
OpenAlexW4387564332

What OpenQuestion holds

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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.