Evidence map›Paper›PMID 36078305›Full record

ArticleInternational journal of environmental research and public health2022

A Retrospective Study of the Impact of COVID-19 Pandemic Related Administrative Restrictions on Spine Surgery Practice and Outcomes in an Urban Healthcare System.

Bahar Attaripour, Selena Xiang, Brendon Mitchell, Matthew Siow, Jesal Parekh, Bahar Shahidi

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Bahar AttaripourDepartment of Orthopaedic Surgery, University of California San Diego, 9500 Gilman Drive MC0863, La Jolla, CA 92037, USA.
Selena XiangDepartment of Orthopaedic Surgery, University of California San Diego, 9500 Gilman Drive MC0863, La Jolla, CA 92037, USA.ORCID 0000-0003-2832-7454
Brendon MitchellDepartment of Orthopaedic Surgery, University of California San Diego, 9500 Gilman Drive MC0863, La Jolla, CA 92037, USA.ORCID 0000-0003-2912-7569
Matthew SiowDepartment of Orthopaedic Surgery, University of California San Diego, 9500 Gilman Drive MC0863, La Jolla, CA 92037, USA.
Jesal ParekhDepartment of Orthopaedic Surgery, University of California San Diego, 9500 Gilman Drive MC0863, La Jolla, CA 92037, USA.
Bahar ShahidiDepartment of Orthopaedic Surgery, University of California San Diego, 9500 Gilman Drive MC0863, La Jolla, CA 92037, USA.ORCID 0000-0002-7532-6940
University of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study objective is to characterize the impact of COVID-19 related hospital administrative restrictions on patient demographics, surgical care, logistics, and patient outcomes in spine surgery. This was a retrospective study of 331 spine surgery patients at UCSD conducted during 1 March 2019-31 May 2019 (pre-COVID-19) and 1 March 2020-31 May 2020 (first COVID-19 surge). All variables were collected through RedCap and compared between pre- and during-COVID groups. There were no significant differences in patient demographics, operating room duration, and skin-to-skin time. However, length of stay was 4.7 days shorter during COVID-19 (

Indexed as

COVID-19TelemedicineHumansPainPandemicsRetrospective StudiesCOVID-19 pandemicorthopaedic surgeryspinesurgery

Identifiers

PMID36078305
PMCPMC9518046
OpenAlexW4293103737

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.