Evidence map›Paper›PMID 32923066›Full record

ArticleBiomedical optics express2020

Reactive oxygen species explicit dosimetry to predict local tumor growth for Photofrin-mediated photodynamic therapy.

Tianqi Sheng, Yihong Ong, Theresa M Busch, Timothy C Zhu

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Real-time PDT Dose Dosimetry for Pleural Photodynamic Therapy.Proceedings of SPIE--the International Society for Optical Engineering
    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

4 authors at 1 institution in 1 country.

Tianqi ShengDepartment of Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Yihong OngDepartment of Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Theresa M BuschDepartment of Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Timothy C ZhuDepartment of Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID https://orcid.org/0000-0003-2842-8984
University of Pennsylvania · US

Funding

TUMOR HYPOXIA, PHOTOSENSITIZER, VASCULARITY AND PDTP01CA087971 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BUSCH, THERESA M, CENGEL, KEITH A · 2001 to 2019
$24.8M
Photodynamic therapy with prior inhibition of epidermal growth factor receptor to stimulate antitumor innate immune responseR01CA236362 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BUSCH, THERESA M · 2019 to 2023
$2.2M
Image-guided treatment planning for pleural Photodynamic TherapyR01CA154562 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ZHU, TIMOTHY C. · 2012 to 2016
$1.6M
Development of Novel Fast GPU Monte Carlo and Active Photonics Simulation Software for Predicting PDT EfficacyR44CA183236 · NCI · SIMPHOTEK, INC. · PI CARY, JOHN R, POTASEK, MARY · 2016 to 2017
$1.5M
NCI NIH HHS P01 CA087971NCI NIH HHS R01 CA154562NCI NIH HHS R01 CA236362NCI NIH HHS R44 CA183236
6 · The paper itself

Abstract

Although photodynamic therapy (PDT) is an established modality for cancer treatment, current dosimetric quantities, such as light fluence and PDT dose, do not account for the differences in PDT oxygen consumption for different fluence rates (

Identifiers

PMID32923066
PMCPMC7449736
OpenAlexW3041107053

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.