Evidence map›Paper›PMID 30143635›Full record

ArticleNature communications2018

Inhibition of osteoblastic Smurf1 promotes bone formation in mouse models of distinctive age-related osteoporosis.

Chao Liang, Songlin Peng, Jie Li, Jun Lu, Daogang Guan, Feng Jiang, Cheng Lu, Fangfei Li, Xiaojuan He, Hailong Zhu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  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

15 authors at 3 institutions in 3 countries.

Chao LiangLaw Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong, SAR, China.ORCID http://orcid.org/0000-0002-5617-3483
Songlin PengLaw Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong, SAR, China.
Jie LiSchool of Chinese Medicine, Faculty of Medicine, Chinese University of Hong Kong, 999077, Hong Kong, SAR, China.
Jun LuLaw Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong, SAR, China.
Daogang GuanLaw Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong, SAR, China.
Feng JiangLaw Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong, SAR, China.
Cheng LuLaw Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong, SAR, China.
Fangfei LiLaw Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong, SAR, China.
Xiaojuan HeLaw Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong, SAR, China.
Hailong ZhuInstitute of Integrated Bioinfomedicine and Translational Science, School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong, SAR, China.
D W T AuDepartment of Biology and Chemistry, City University of Hong Kong, 999077, Hong Kong, SAR, China.
Dazhi YangDepartment of Spine Surgery, Shenzhen People's Hospital, Ji Nan University Second College of Medicine, 518020, Shenzhen, China.
Bao-Ting ZhangSchool of Chinese Medicine, Faculty of Medicine, Chinese University of Hong Kong, 999077, Hong Kong, SAR, China. zhangbaoting@cuhk.edu.hk.
Aiping LuLaw Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong, SAR, China. aipinglu@hkbu.edu.hk.
Ge ZhangLaw Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong, SAR, China. zhangge@hkbu.edu.hk.
Hong Kong Baptist University · HKChinese University of Hong Kong · HKCity University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone morphogenetic protein (BMP) signaling is essential for osteogenesis. However, recombinant human BMPs (rhBMPs) exhibit large inter-individual variations in local bone formation during clinical spinal fusion. Smurf1 ubiquitinates BMP downstream molecules for degradation. Here, we classify age-related osteoporosis based on distinct intraosseous BMP-2 levels and Smurf1 activity. One major subgroup with a normal BMP-2 level and elevated Smurf1 activity (BMP-2

Indexed as

AdultAgedAnimalsBone Morphogenetic Protein 2FemaleHumansMaleMiceMiddle AgedOligopeptidesOsteoblastsOsteogenesisOsteoporosisSignal TransductionUbiquitin-Protein LigasesBone Morphogenetic Protein 2OligopeptidesSmurf1 protein, mouseUbiquitin-Protein Ligases

Identifiers

PMID30143635
PMCPMC6109183
OpenAlexW2888395568

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.