Evidence map›Paper›PMID 34707986›Full record

ReviewFrontiers in oncology2021

Application of Mass Spectrometry in Pancreatic Cancer Translational Research.

Peng Ge, Yalan Luo, Haiyang Chen, Jiayue Liu, Haoya Guo, Caiming Xu, Jialin Qu, Guixin Zhang, Hailong Chen

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
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

9 authors.

Peng GeDepartment of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Yalan LuoDepartment of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Haiyang ChenDepartment of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Jiayue LiuDepartment of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Haoya GuoDepartment of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Caiming XuDepartment of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Jialin QuInstitute (College) of Integrative Medicine, Dalian Medical University, Dalian, China.
Guixin ZhangDepartment of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Hailong ChenDepartment of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer (PC) is one of the most common malignant tumors in the digestive tract worldwide, with increased morbidity and mortality. In recent years, with the development of surgery, chemotherapy, radiotherapy, targeted therapy, and immunotherapy, and the change of the medical thinking model, remarkable progress has been made in researching comprehensive diagnosis and treatment of PC. However, the present situation of diagnostic and treatment of PC is still unsatisfactory. There is an urgent need for academia to fully integrate the basic research and clinical data from PC to form a research model conducive to clinical translation and promote the proper treatment of PC. This paper summarized the translation progress of mass spectrometry (MS) in the pathogenesis, diagnosis, prognosis, and PC treatment to promote the basic research results of PC into clinical diagnosis and treatment.

Indexed as

diagnosismass spectrometrypancreatic cancertherapytranslational science

Identifiers

PMID34707986
PMCPMC8544753

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.