Evidence map›Paper›PMID 33987516›Full record

ArticleCanadian journal of pain = Revue canadienne de la douleur2020

Predicting recovery after lumbar spinal stenosis surgery: A protocol for a historical cohort study using data from the Canadian Spine Outcomes Research Network (CSORN).

Erynne Rowe, Elizabeth Hassan, Lisa Carlesso, Janie Astephen Wilson, Douglas P Gross, Charles Fisher, Hamilton Hall, Neil Manson, Ken Thomas, Greg McIntosh and 3 more

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of pain = Revue canadienne de la douleur, 2020. 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
0.1field-weighted citation impact, top 55% 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, 4 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 7 institutions in 1 country.

Erynne RoweSchool of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada.
Elizabeth HassanDepartment of Mechanical Engineering, McMaster University, Hamilton, Ontario, Canada.
Lisa CarlessoSchool of Rehabilitation Science, McMaster University, Hamilton, Canada.
Janie Astephen WilsonSchool of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada.
Douglas P GrossDepartment of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Alberta, Canada.
Charles FisherVancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada.
Hamilton HallDepartment of Surgery, University of Toronto, Toronto, Ontario, Canada.
Neil MansonCanada East Spine Centre, Saint John, New Brunswick, Canada.
Ken ThomasCumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Greg McIntoshCanadian Spine Society, Canadian Spine Outcomes Research Network, Toronto, Ontario, Canada.
Brian DrewDepartment of Surgery, McMaster University, Hamilton, Ontario, Canada.
Raja RampersaudDepartment of Surgery, University of Toronto, Toronto, Ontario, Canada.
Luciana MacedoSchool of Rehabilitation Science, McMaster University, Hamilton, Canada.ORCID https://orcid.org/0000-0002-1840-2951
McMaster University · CAUniversity of Toronto · CACanada East Spine Centre · CAUniversité de Montréal · CAUniversity of Alberta · CAUniversity of British Columbia · CAUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

back painlongitudinal cohort studylumbar spinal stenosispartial least squaressurgery

Identifiers

PMID33987516
PMCPMC7942767
OpenAlexW3006806427

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.