Evidence map›Paper›PMID 32556496›Full record

SynthesisCancer immunology, immunotherapy : CII2020

Current trends in cancer immunotherapy: a literature-mining analysis.

Stamatia Pouliliou, Christos Nikolaidis, George Drosatos

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Cancer immunology, immunotherapy : CII, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Stamatia PouliliouDepartment of Radiotherapy/Oncology, School of Medicine, Democritus University of Thrace, Alexandroupolis, Greece. tinapouliliou@gmail.com.ORCID http://orcid.org/0000-0001-8900-2202
Christos NikolaidisSchool of Medicine, Democritus University of Thrace, Alexandroupolis, Greece.
George DrosatosInstitute for Language and Speech Processing, Athena Research Center, Xanthi, Greece.

Funding

State Scholarships Foundation 5033021
6 · The paper itself

Abstract

Cancer immunotherapy is a rapidly growing field that is completely transforming oncology care. Mining this knowledge base for biomedically important information is becoming increasingly challenging, due to the expanding number of scientific publications, and the dynamic evolution of this subject with time. In this study, we have employed a literature-mining approach that was used to analyze the cancer immunotherapy-related publications listed in PubMed and quantify emerging trends. A total of 93,033 publications published in 5055 journals have been retrieved, and 141 meaningful topics have been identified, which were further classified into eight distinct categories. Statistical analysis indicates a mean annual increase in the number of published papers of approximately 8% in the last 20 years. The research topics that exhibited the highest trends included "immune checkpoint inhibitors," "tumor microenvironment," "HPV vaccination," "CAR T-cells," and "gene mutations/tumor profiling." The top identified cancer types included "lung," "colorectal," and "breast cancer," and a shift in popularity from hematological to solid tumors was observed. As regards clinical research, a transition from early phase clinical trials to randomized control trials was recorded, indicating that the field is entering a more advanced phase of development. Overall, this mining approach provided an unbiased analysis of the cancer immunotherapy literature in a time-conserving and scale-efficient manner.

Indexed as

BibliometricsAntineoplastic Agents, ImmunologicalCancer VaccinesData MiningHumansImmunotherapyMutationNeoplasmsPapillomavirus VaccinesPubMedRandomized Controlled Trials as TopicAntineoplastic Agents, ImmunologicalCancer VaccinesPapillomavirus VaccinesCancer immunotherapyLDALiterature miningTopic modelingTrends analysis

Identifiers

PMID32556496
PMCPMC11027466

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.