Evidence map›Paper›PMID 39238905›Full record

ArticleInterventional pain medicine2023

Better late than never? Impact of delayed elective interventional pain procedures due to the COVID-19 pandemic.

Andrew I Gitkind, Jordan Schnoll Ms-Ii, Wenzhu Mowrey, Jiyue Qin, Geum Yeon Sim, Naum Shaparin, Reza Yassari

Abstract read
In one paragraph

Article in Interventional pain medicine, 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
–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

1 citing paper in PubMed.

  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

7 authors.

Andrew I GitkindDepartment of Rehabilitation Medicine, Montefiore Medical Center, 150 East 210 Street, Bronx, NY, 10467, USA.
Jordan Schnoll Ms-IiAlbert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
Wenzhu MowreyAlbert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
Jiyue QinAlbert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
Geum Yeon SimDepartment of Rehabilitation Medicine, Montefiore Medical Center, 150 East 210 Street, Bronx, NY, 10467, USA.
Naum ShaparinAlbert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.
Reza YassariMontefiore Spine Center, Montefiore Medical Center, 1250 Waters Place Tower 1, Bronx, NY, 10461, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the well documented importance and success of interventional pain procedures in the management of painful spine conditions, detractors have questioned their role as part of the care paradigm since their inception. One of the many unexpected consequences of the COVID-19 pandemic in the United States was the forced shut down of elective procedures in early 2020. This caused many patients suffering with pain, who had already been deemed appropriate for an interventional procedure to have to wait an extended period of time. This unprecedented period in modern healthcare provided the opportunity for a long term examination of how this cohort of patients suffering with pain faired while being forced to wait for pain relieving intervention, and to demonstrate the vital importance of these procedures for not only pain relief but for improvement in quality of life. This study will show that an overwhelming number of patients reported that their pain had not improved spontaneously over time, and were anxious to proceed with intervention once given the opportunity.

Indexed as

Chronic painCOVID-19EpiduralFacetInjectionInterventional pain

Identifiers

PMID39238905
PMCPMC11372876

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.