Evidence map›Paper›PMID 29541623›Full record

ReviewQuantitative imaging in medicine and surgery2018

Site specific measurements of bone formation using [

Glen M Blake, Tanuj Puri, Musib Siddique, Michelle L Frost, Amelia E B Moore, Ignac Fogelman

Open access · hybridAbstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 32 citations in OpenAlex.

  1. Whole-Body [Tomography (Ann Arbor, Mich.) · 2021
    Trial
  2. Review
  3. Review
  4. Review
  5. Cartilage-SpecificBiomedicines · 2025
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Emerging Role ofPET clinics · 2023
    Review
  11. [Cells · 2022
    Article
  12. [Tomography (Ann Arbor, Mich.) · 2021
    Review
  13. International journal of molecular sciences · 2021
    Review
  14. The Role of Bone Biopsy in the Management of CKD-MBD.Calcified tissue international · 2021
    Review
  15. Can NaEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2021
    Article
  16. An improved patch-based regularization method for PET image reconstruction.Quantitative imaging in medicine and surgery · 2021
    Article
  17. Review
  18. Article
  19. Comparison ofEuropean journal of nuclear medicine and molecular imaging · 2020
    Article
  20. 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

6 authors at 2 institutions in 1 country.

Glen M BlakeBiomedical Engineering Department, King's College London, Strand, LondonUK.
Tanuj PuriBiomedical Engineering Department, King's College London, Strand, LondonUK.
Musib SiddiqueBiomedical Engineering Department, King's College London, Strand, LondonUK.
Michelle L FrostDepartment of Radiology, Royal Marsden Hospital, Sutton, Surrey, UK.
Amelia E B MooreOsteoporosis Research Unit, King's College London, Guy's Campus, London, UK.
Ignac FogelmanNuclear Medicine Department, King's College London, Guy's Campus, London, UK.
King's College London · GBRoyal Marsden NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic positron emission tomography (PET) imaging with fluorine-18 labelled sodium fluoride ([

Indexed as

[18F] sodium fluoride ([18F]NaF)bone blood flowbone formationbone plasma clearancemetabolic bone diseaseosteoporosisosteoporosis therapypositron emission tomography (PET)quantitative imagingstandardised uptake value

Identifiers

PMID29541623
PMCPMC5835654
OpenAlexW2785149686

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.