ReviewCancer imaging : the official publication of the International Cancer Imaging Society2011
Can imaging help improve the survival of cancer patients?
Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 11 citations in OpenAlex.
- Impact of a Targeted Project for Shortening of Imaging Diagnostic Waiting Time in Patients with Suspected Oncological Diseases in Hungary.Medicina (Kaunas, Lithuania) · 2023Article
- MR Elastography Analysis of Glioma Stiffness andAJNR. American journal of neuroradiology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Survival, quality-adjusted survival and mortality are important and related measures of outcome in cancer care. The impact of imaging on these outcomes can be ascertained from observational and modelling studies, frequently performed to evaluate cost-effectiveness. Examples where incorporation of imaging into cancer care can be shown to improve survival include breast cancer screening, characterization of solitary pulmonary nodules, staging of non-small cell lung cancer, treatment response assessment in Hodgkin lymphoma, postoperative surveillance of colorectal cancer and selective internal radiation therapy of colorectal liver metastases. Modelling suggests the greatest opportunities for improvements in survival through imaging detection of cancer may lie in the investigation of mildly symptomatic patients. For applications where the improvements in survival are more modest, use of imaging frequently has additional demonstrable benefits including reductions in health care expenditure.
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Identifiers
What OpenQuestion holds
Registered trials
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.