ReviewCurrent oncology reports2004
Molecular diagnosis in lymphoma.
Review in Current oncology reports, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed, 9 citations in OpenAlex.
No citing paper in PubMed yet.
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
The evolution of our ability to diagnose and classify lymphomas in an increasingly refined manner has paralleled the development of novel technologic approaches, with contemporary practice dependent upon the harnessing of a plethora of data that include microscopic, immunophenotypic, and genetic information. Although each of these components is currently indispensable, there is a purported progressive improvement in biologic objectivity as one maneuvers through these respective technologies. Accordingly, and in particular given the rapid pace at which key insights into lymphoma biology are emerging with microarray and other cutting-edge technologies, the role of molecular genetic testing is assuming even greater relevance. The ability to diagnose and classify lymphomas more accurately, precisely, and rationally by incorporating molecular data ought to lead to the development of more appropriate directed therapies.
Indexed as
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.