Evidence map›Paper›PMID 27756360›Full record

ReviewCancer imaging : the official publication of the International Cancer Imaging Society2016

How We Read Oncologic FDG PET/CT.

Michael S Hofman, Rodney J Hicks

Open access · goldAbstract readReview
In one paragraph

Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 3 pooled it
6.5field-weighted citation impact, top 3% 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

80 citing papers in PubMed, 3 syntheses or guidelines pooled it, 149 citations in OpenAlex.

  1. Comparing the diagnostic efficacy of [Abdominal radiology (New York) · 2025
    Pooled it
  2. Pooled it
  3. [Frontiers in medicine · 2024
    Pooled it
  4. Determinants of Survival with Combined HER2 and PD-1 Blockade in Metastatic Esophagogastric Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Trial
  5. Trial
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  7. Trial
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Updated evidence on the accuracy ofQuantitative imaging in medicine and surgery · 2026
    Review
  15. Article
  16. Review
  17. Review
  18. A PET/CT-based 3D deep learning model for predicting spread through air spaces in stage I lung adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  19. Article
  20. Article

20 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Michael S HofmanCentre for Molecular Imaging, Dept of Cancer Imaging, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, 3000, Australia. michael.hofman@petermac.org.ORCID http://orcid.org/0000-0001-8622-159X
Rodney J HicksCentre for Molecular Imaging, Dept of Cancer Imaging, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, 3000, Australia. rod.hicks@petermac.org.
Peter MacCallum Cancer Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

HumansMedical OncologyNeoplasmsPositron Emission Tomography Computed TomographyPrognosisFluorodeoxyglucose FDGMedical oncologyPositron-emission tomographyRadiology

Identifiers

PMID27756360
PMCPMC5067887
OpenAlexW2533964882

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.