Evidence map›Paper›PMID 34764694›Full record

ReviewCancer management and research2021

Advances in the Prediction and Risk Assessment of Lung Cancer-Associated Venous Thromboembolism.

Wenjuan Di, Haotian Xu, Ting Xue, Chunhua Ling

Open access · goldAbstract readReview
In one paragraph

Review in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Observational
  12. Article
  13. Review
  14. 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

4 authors at 1 institution in 1 country.

Wenjuan DiDepartment of Respiratory and Critical Care Medicine, The First Hospital Affiliated of Soochow University, Suzhou City, Jiangsu Province, People's Republic of China.ORCID 0000-0003-0799-3415
Haotian XuDepartment of Respiratory and Critical Care Medicine, The First Hospital Affiliated of Soochow University, Suzhou City, Jiangsu Province, People's Republic of China.
Ting XueDepartment of Respiratory and Critical Care Medicine, The First Hospital Affiliated of Soochow University, Suzhou City, Jiangsu Province, People's Republic of China.
Chunhua LingDepartment of Respiratory and Critical Care Medicine, The First Hospital Affiliated of Soochow University, Suzhou City, Jiangsu Province, People's Republic of China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the most recent data from the National Cancer Center, venous thromboembolism (VTE) has unsurprisingly become one of the most common complications in lung cancer. VTE not only interferes with the equilibrium of the clotting system but it also affects tumor progression and prognosis. For the identification of high-risk patients, many clinical risk assessment models have been developed and validated based on the risk factors found in previous studies. In this review, we will summarize advances in prediction and risk assessment of VTE, with a focus on early diagnosis and therapy, reduction of mortality, and the burden of medical costs in lung cancer patients.

Indexed as

anticoagulationlung cancerrisk assessment modelrisk factorvenous thromboembolism

Identifiers

PMID34764694
PMCPMC8575248
OpenAlexW3208014893

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.