Evidence map›Paper›PMID 32266090›Full record

ReviewAmerican journal of cancer research2020

The systems of metastatic potential prediction in pheochromocytoma and paraganglioma.

Yong Wang, Minghao Li, Hao Deng, Yingxian Pang, Longfei Liu, Xiao Guan

Open access · greenAbstract readReview
In one paragraph

Review in American journal of cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Urinary Dopamine Levels Can Predict the Avidity of Post-Therapy [Pharmaceuticals (Basel, Switzerland) · 2025
    Article
  7. Article
  8. Pheochromocytoma in MEN2.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Peripancreatic paraganglioma: Lesson from a round table.World journal of gastroenterology · 2022
    Article
  18. Review
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Yong WangDepartment of Urology, Xiangya Hospital, Central South University NO. 87 Xiangya Road, Changsha 410008, Hunan, P. R. China.
Minghao LiDepartment of Urology, Xiangya Hospital, Central South University NO. 87 Xiangya Road, Changsha 410008, Hunan, P. R. China.
Hao DengDepartment of Urology, Xiangya Hospital, Central South University NO. 87 Xiangya Road, Changsha 410008, Hunan, P. R. China.
Yingxian PangDepartment of Urology, Xiangya Hospital, Central South University NO. 87 Xiangya Road, Changsha 410008, Hunan, P. R. China.
Longfei LiuDepartment of Urology, Xiangya Hospital, Central South University NO. 87 Xiangya Road, Changsha 410008, Hunan, P. R. China.
Xiao GuanDepartment of Urology, Xiangya Hospital, Central South University NO. 87 Xiangya Road, Changsha 410008, Hunan, P. R. China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pheochromocytoma and paraganglioma (PPGL) are rare neuroendocrine tumors that arising from the adrenal medulla or extra-adrenal autonomic ganglia. Traditionally, PPGL was classified as benign or malignant based on the presence of distant metastasis at the time of initial surgery. However, according to WHO 2017 Classification of Tumors of Endocrine Organs, all PPGL has metastatic potential. The term "metastatic" is used, replacing "malignant" in this group of tumors. The prediction of PPGL's metastatic potential is a clinical concern, although many relevant indicators such as genetics, histology, pathology and molecular biology markers have been proved to be related to the metastasis of PPGL, but none of them is 100% predictive; various types of prediction systems had been created, but previous studies had demonstrated that they still need to be validated in multicenter studies. There is no unified clinical standard to differentiate metastatic from non-metastatic and a highly effective prediction system is of urgent need. In this review, we summarized all reported prediction systems, including the PASS system, the GAPP system, the COPPs system and the ASES system. Additional potential indicators that related to metastatic PPGL were also introduced.

Indexed as

metastatic potentialparagangliomaPheochromocytomaPPGLprediction systems

Identifiers

PMID32266090
PMCPMC7136918
OpenAlexW3014981422

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.