Evidence map›Paper›PMID 28824964›Full record

ReviewSurgery journal (New York, N.Y.)2015

A Surgical View of Photodynamic Therapy in Oncology: A Review.

K Moghissi, Kate Dixon, Sally Gibbins

Open access · goldAbstract readReview
In one paragraph

Review in Surgery journal (New York, N.Y.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Advantages of Long-Wavelength PhotosensitizerPharmaceuticals (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Does PDT have potential in the treatment of COVID 19 patients?Photodiagnosis and photodynamic therapy · 2020
    Article
  14. Review
  15. Review
  16. Review
  17. Review
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

3 authors at 1 institution in 1 country.

K MoghissiThe Yorkshire Laser Centre, Goole and District Hospital, Goole, East Yorkshire, United Kingdom.
Kate DixonThe Yorkshire Laser Centre, Goole and District Hospital, Goole, East Yorkshire, United Kingdom.
Sally GibbinsThe Yorkshire Laser Centre, Goole and District Hospital, Goole, East Yorkshire, United Kingdom.
Goole and District Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical photodynamic therapy (PDT) has existed for over 30 years, and its scientific basis has been known and investigated for well over 100 years. The scientific foundation of PDT is solid and its application to cancer treatment for many common neoplastic lesions has been the subject of a huge number of clinical trials and observational studies. Yet its acceptance by many clinicians has suffered from its absence from the undergraduate and/or postgraduate education curricula of surgeons, physicians, and oncologists. Surgeons in a variety of specialties many with years of experience who are familiar with PDT bear witness in many thousands of publications to its safety and efficacy as well as to the unique role that it can play in the treatment of cancer with its targeting precision, its lack of collateral damage to healthy structures surrounding the treated lesions, and its usage within minimal access therapy. PDT is closely related to the fluorescence phenomenon used in photodiagnosis. This review aspires both to inform and to present the clinical aspect of PDT as seen by a surgeon.

Indexed as

PDT for surgeonsPDT in oncology

Identifiers

PMID28824964
PMCPMC5530619
OpenAlexW2583494589

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.