Evidence map›Paper›PMID 31950363›Full record

ArticleZeitschrift fur Gerontologie und Geriatrie2020

Combined antisclerostin antibody and parathyroid hormone (1-34) synergistically enhance the healing of bone defects in ovariectomized rats.

Jinti Lin, Jun Wu, Shuaibo Sun, Kai Chen, Hongqiang Wu, Renjin Lin, Chengwei Zhou, Jianzhong Kong, Kailiang Zhou, Xiaolong Shui

Abstract read
PubMed Publisher
In one paragraph

Article in Zeitschrift fur Gerontologie und Geriatrie, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Impact of osteoporosis and osteoporosis medications on fracture healing: a narrative review.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
    Review
  3. Review
  4. 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

10 authors at 3 institutions in 1 country.

Jinti LinDepartment of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 W Xueyuan Road, 325027, Wenzhou, Zhejiang, China.
Jun WuDepartment of Orthopaedics, the Lin'an People Hospital Affiliated to Hangzhou Medical College, 311300, Lin'an, China.
Shuaibo SunDepartment of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 W Xueyuan Road, 325027, Wenzhou, Zhejiang, China.
Kai ChenDepartment of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 W Xueyuan Road, 325027, Wenzhou, Zhejiang, China.
Hongqiang WuDepartment of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 W Xueyuan Road, 325027, Wenzhou, Zhejiang, China.
Renjin LinDepartment of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 W Xueyuan Road, 325027, Wenzhou, Zhejiang, China.
Chengwei ZhouDepartment of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 W Xueyuan Road, 325027, Wenzhou, Zhejiang, China.
Jianzhong KongDepartment of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 W Xueyuan Road, 325027, Wenzhou, Zhejiang, China.
Kailiang ZhouDepartment of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 W Xueyuan Road, 325027, Wenzhou, Zhejiang, China. zhoukailiang@wmu.edu.cn.
Xiaolong ShuiDepartment of Orthopaedics, The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 W Xueyuan Road, 325027, Wenzhou, Zhejiang, China. sxl202144@163.com.
Wenzhou Medical University · CNSecond Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University · CNHangzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporotic bones heal more slowly and ineffectively than normal bones. A combination of antibodies against sclerosing protein (Scl-Ab), and parathyroid hormone 1-34 (PTH 1-34) may improve healing. A standard osteoporotic rat model was established 12 weeks after bilateral ovarian resection (OVX). Bone defects were created in the right femora of 80 rats, which were randomly divided into 4 groups: control, Scl-Ab (25 mg/kg twice weekly), PTH (60 μg/kg of PTH 1-34 three times a week) and PTH plus Scl-Ab. After 12 weeks of treatment the rats were sacrificed and blood and the distal femora were harvested for biochemical evaluation, histology, microcomputed tomography and biomechanical testing. Compared to the control group, monotherapy and combination therapy with PTH and/or Scl-Ab promoted the formation of new bone, enhanced maximum femoral loading and increased the levels of procollagen type I N‑terminal propeptide (PINP) and osteocalcin. The administration of PTH + Scl-Ab maximally enhanced bone defect healing. Combination treatment was better than either treatment alone, indicating a synergistic effect.

Indexed as

AnimalsAntibodiesBone DensityBone Morphogenetic ProteinsBone RemodelingBony CallusDisease Models, AnimalDrug Therapy, CombinationFemaleFracture HealingHumansOvariectomyParathyroid HormoneRandom AllocationRatsRats, Sprague-DawleyAntibodiesBone Morphogenetic ProteinsParathyroid HormoneAntisclerostin antibodyBone defectExperimental animal modelOsteoporosisParathyroid hormone

Identifiers

PMID31950363
OpenAlexW2999093852

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.