Evidence map›Paper›PMID 35655822›Full record

ArticleQuantitative imaging in medicine and surgery2022

Application of

Peter Sang Uk Park, William Y Raynor, Navpreet Khurana, Yusha Sun, Thomas J Werner, Poul Flemming Høilund-Carlsen, Abass Alavi, Mona-Elisabeth Revheim

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 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
0.7field-weighted citation impact, top 37% 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, 8 citations in OpenAlex.

  1. Article
  2. Complement 3 and 4 impact in osteoarthritis.Biomarkers in medicine · 2025
    Article
  3. Review
  4. [Quantitative imaging in medicine and surgery · 2023
    Article
  5. 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

8 authors at 4 institutions in 3 countries.

Peter Sang Uk ParkDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
William Y RaynorDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Navpreet KhuranaDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Yusha SunPerelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Thomas J WernerDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Poul Flemming Høilund-CarlsenDepartment of Nuclear Medicine, Odense University Hospital, Odense, Denmark.
Abass AlaviDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Mona-Elisabeth RevheimDivision of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
Hospital of the University of Pennsylvania · USUniversity of Pennsylvania · USOdense University Hospital · DKUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cervical spondylosis is the degeneration of cervical spine often associated with aging and neck pain. As the degenerative changes are coupled with altered osteoblastic activity, imaging modalities sensitive to such molecular changes could be valuable for clinical assessment, disease prophylaxis, and monitoring early therapy response. In this study, we examined the role of Methods: In this retrospective cross-sectional study, we analyzed Results: There was a significant difference in Conclusions: Aging is associated with increased

Indexed as

agingcervical spinecervical spondylosisPositron emission tomography/computed tomography (PET/CT)sodium fluoride

Identifiers

PMID35655822
PMCPMC9131326
OpenAlexW4282912933

What OpenQuestion holds

Textmetadata
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.