Evidence map›Paper›PMID 38392019›Full record

ReviewBiosensors2024

Advances in Cancer Research: Current and Future Diagnostic and Therapeutic Strategies.

Xiaohui Liu, Hui Jiang, Xuemei Wang

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

6 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
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  6. 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.

Xiaohui LiuState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
Hui JiangState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.ORCID 0000-0001-8044-758X
Xuemei WangState Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
State Key Laboratory of Digital Medical Engineering

Funding

ISF-NSFC Joint Research Program 3258/20National Natural Science Foundation of China 21974019National Natural Science Foundation of China 82027806National Natural Science Foundation of China 82061148012National Natural Science Foundation of China 82372220Primary Research & Development Plan of Jiangsu Province BE2019716the Start-up Research Fund of Southeast University RF1028623360
6 · The paper itself

Abstract

Cancers of unknown primary (CUP) exhibit significant cellular heterogeneity and malignancy, which poses significant challenges for diagnosis and treatment. Recent years have seen deeper insights into the imaging, pathology, and genetic characteristics of CUP, driven by interdisciplinary collaboration and the evolution of diagnostic and therapeutic strategies. However, due to their insidious onset, lack of evidence-based medicine, and limited clinical understanding, diagnosing and treating CUP remain a significant challenge. To inspire more creative and fantastic research, herein, we report and highlight recent advances in the diagnosis and therapeutic strategies of CUP. Specifically, we discuss advanced diagnostic technologies, including 12-deoxy-2-[fluorine-18]fluoro-D-glucose integrated with computed tomography (18F-FDG PET/CT) or

Indexed as

Fluorine RadioisotopesNeoplasms, Unknown PrimaryPositron Emission Tomography Computed TomographyArtificial IntelligenceHumansPositron-Emission TomographyTomography, X-Ray ComputedFluorine-18Fluorine Radioisotopesartificial intelligence (AI)bio-nanotechnologycancers of unknown primary (CUP)diagnosticsmicrofluidictargeted therapy

Identifiers

PMID38392019
PMCPMC10886776
OpenAlexW4391884049

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.