Evidence map›Paper›PMID 24751410›Full record

Trial reportInternational journal of radiation oncology, biology, physics2014

Baseline metabolic tumor volume and total lesion glycolysis are associated with survival outcomes in patients with locally advanced pancreatic cancer receiving stereotactic body radiation therapy.

Avani S Dholakia, Muhammad Chaudhry, Jeffrey P Leal, Daniel T Chang, Siva P Raman, Amy Hacker-Prietz, Zheng Su, Jonathan Pai, Katharine E Oteiza, Mary E Griffith and 7 more

Open access · greenAbstract readClinical Trial, Phase II
In one paragraph

Trial report in International journal of radiation oncology, biology, physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. The Value of Baseline [Diagnostics (Basel, Switzerland) · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. The Impact of MetabolicMolecular imaging and radionuclide therapy · 2023
    Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Prognostic Evaluation Based on Dual-TimeJournal of oncology · 2022
    Article
  14. Review
  15. Article
  16. Magnetic nanoparticle hyperthermia for treating locally advanced unresectable and borderline resectable pancreatic cancers: the role of tumor size and eddy-current heating.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2020
    Article
  17. Article
  18. Usefulness ofCancer medicine · 2020
    Article
  19. Recent advances of PET imaging in clinical radiation oncology.Radiation oncology (London, England) · 2020
    Review
  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

17 authors at 3 institutions in 1 country.

Avani S DholakiaDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Muhammad ChaudhryDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Jeffrey P LealDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Daniel T ChangDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
Siva P RamanDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Amy Hacker-PrietzDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Zheng SuDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
Jonathan PaiDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
Katharine E OteizaDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Mary E GriffithDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Richard L WahlDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Erik TryggestadDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Timothy PawlikDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Daniel A LaheruDepartment of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Christopher L WolfgangDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Albert C KoongDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
Joseph M HermanDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland. Electronic address: jherma15@jhmi.edu.
Johns Hopkins Medicine · USJohns Hopkins University · USStanford University · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
NCI NIH HHS P30 CA006973
6 · The paper itself

Abstract

purposeAlthough previous studies have demonstrated the prognostic value of positron emission tomography (PET) parameters in other malignancies, the role of PET in pancreatic cancer has yet to be well established. We analyzed the prognostic utility of PET for patients with locally advanced pancreatic cancer (LAPC) undergoing fractionated stereotactic body radiation therapy (SBRT). MATERIALS AND

methodsThirty-two patients with LAPC in a prospective clinical trial received up to 3 doses of gemcitabine, followed by 33 Gy in 5 fractions of 6.6 Gy, using SBRT. All patients received a baseline PET scan prior to SBRT (pre-SBRT PET). Metabolic tumor volume (MTV), total lesion glycolysis (TLG), and maximum and peak standardized uptake values (SUVmax and SUVpeak) on pre-SBRT PET scans were calculated using custom-designed software. Disease was measured at a threshold based on the liver SUV, using the equation Livermean + [2 × Liversd]. Median values of PET parameters were used as cutoffs when assessing their prognostic potential through Cox regression analyses.

resultsOf the 32 patients, the majority were male (n=19, 59%), 65 years or older (n=21, 66%), and had tumors located in the pancreatic head (n=27, 84%). Twenty-seven patients (84%) received induction gemcitabine prior to SBRT. Median overall survival for the entire cohort was 18.8 months (95% confidence interval [CI], 15.7-22.0). An MTV of 26.8 cm(3) or greater (hazard ratio [HR] 4.46, 95% CI 1.64-5.88, P<.003) and TLG of 70.9 or greater (HR 3.08, 95% CI 1.18-8.02, P<.021) on pre-SBRT PET scan were associated with inferior overall survival on univariate analysis. Both pre-SBRT MTV (HR 5.13, 95% CI 1.19-22.21, P=.029) and TLG (HR 3.34, 95% CI 1.07-10.48, P=.038) remained independently associated with overall survival in separate multivariate analyses.

conclusionsPre-SBRT MTV and TLG are potential predictive factors for overall survival in patients with LAPC and may assist in tailoring therapy.

Indexed as

GlycolysisPositron-Emission TomographyAgedAntimetabolites, AntineoplasticBlood GlucoseCarcinoma, Pancreatic DuctalDeoxycytidineDose Fractionation, RadiationDrug Administration ScheduleFemaleFluorodeoxyglucose F18GemcitabineHumansInduction ChemotherapyLiverMaleAntimetabolites, AntineoplasticBlood GlucoseDeoxycytidineFluorodeoxyglucose F18GemcitabineRadiopharmaceuticals

Identifiers

PMID24751410
PMCPMC4372085
OpenAlexW2029774946

What OpenQuestion holds

Textmetadata
LicenceTDM
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.