Evidence map›Paper›PMID 33412320›Full record

ArticleWorld neurosurgery2021

Predicting for Lost to Follow-up in Surgical Management of Patients with Chronic Subdural Hematoma.

Alan R Tang, Matthews Lan, Katherine A Kelly, Bradley S Guidry, Aaron M Yengo-Kahn, Patrick D Kelly, Silky Chotai, Peter J Morone

Open access · greenAbstract read
In one paragraph

Article in World neurosurgery, 2021. 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
0.4field-weighted citation impact, top 36% 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. Trial
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

8 authors at 2 institutions in 1 country.

Alan R TangVanderbilt University School of Medicine, Nashville, Tennessee, USA. Electronic address: alan.r.tang@vanderbilt.edu.
Matthews LanVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Katherine A KellyVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Bradley S GuidryVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Aaron M Yengo-KahnDepartment of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Patrick D KellyDepartment of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Silky ChotaiDepartment of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Peter J MoroneDepartment of Neurological Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Surgical Oncology Training GrantT32CA106183 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI James Richard Goldenring · 2004 to 2026
$6.0M
NCATS NIH HHS UL1 TR000445NCI NIH HHS T32 CA106183
6 · The paper itself

Abstract

backgroundLost to follow-up (LTF) represents an understudied barrier to effective management of chronic subdural hematoma (cSDH). Understanding the factors associated with LTF after surgical treatment of cSDH could uncover pathways for quality improvement efforts and modify discharge planning. We sought to identify the demographic and clinical factors associated with patient LTF.

methodsA single-institution, retrospective cohort study of patients treated surgically for convexity cSDH from 2009 to 2019 was conducted. The primary outcome was LTF, with neurosurgical readmission as the secondary outcome. Univariate analysis was conducted using the student-t test and χ

resultsA total of 139 patients were included, 29% of whom were LTF. The mean first postoperative follow-up duration was 60 days. On univariate analysis, uninsured/Medicaid coverage was associated with increased LTF compared with private insurance/Medicare coverage (62.5% vs. 41.4%; P = 0.039). A higher discharge modified Rankin scale score was also associated with LTF (3.7 vs. 3.5; P < 0.001). On multivariate analysis, uninsured/Medicaid patients had a significantly greater risk of LTF compared with private insurance/Medicare patients (odds ratio, 2.44; 95% confidence interval, 1.13-5.23; P = 0.022). LTF was independently associated with an increased risk of neurosurgical readmission (odds ratio, 1.94; 95% confidence interval, 1.17-3.24; P = 0.011).

conclusionsUninsured and Medicaid patients had a greater likelihood of LTF compared with private insurance and Medicare patients. LTF was further associated with an increased risk of neurosurgical readmission. The results from the present study emphasize the need to address barriers to follow-up to reduce readmission after surgery for cSDH. These findings could inform improved discharge planning, such as predischarge repeat imaging studies and postdischarge contact.

Indexed as

Decompressive CraniectomyInsurance, HealthLost to Follow-UpTrephiningAgedAged, 80 and overDisability EvaluationFemaleHealth Services AccessibilityHematoma, Subdural, ChronicHumansLength of StayLogistic ModelsMaleMedicaidMedicareChronic subdural hematomaDischarge planningLoss to follow-upSurgical management

Identifiers

PMID33412320
PMCPMC8054037
OpenAlexW3118530747

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.