Evidence map›Paper›PMID 28101629›Full record

ReviewOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2017

Treatment of Ribbing disease with 5-year follow-up and literature review.

L L Zhang, W M Jiang, H L Yang, Z-P Luo

Abstract readCase ReportsReview
PubMed Publisher
In one paragraph

Review in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 100% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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.

L L ZhangOrthopedic Institute, Department of Orthopedics, The First Affiliated Hospital of Soochow University, 708 Renmin Rd, Suzhou, Jiangsu, 215007, People's Republic of China.
W M JiangOrthopedic Institute, Department of Orthopedics, The First Affiliated Hospital of Soochow University, 708 Renmin Rd, Suzhou, Jiangsu, 215007, People's Republic of China.
H L YangOrthopedic Institute, Department of Orthopedics, The First Affiliated Hospital of Soochow University, 708 Renmin Rd, Suzhou, Jiangsu, 215007, People's Republic of China.
Z-P LuoOrthopedic Institute, Department of Orthopedics, The First Affiliated Hospital of Soochow University, 708 Renmin Rd, Suzhou, Jiangsu, 215007, People's Republic of China. zongping_luo@yahoo.com.
First Affiliated Hospital of Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ribbing disease, or multiple diaphyseal sclerosis, is a rare diaphyseal sclerosis of unknown etiology. Patients with this pathology usually present with asymmetric pain limited to the lower extremities. Though all efforts are made to relieve the progressive pain associated with Ribbing disease, no medical or surgical treatments have been established yet. In this case report, we followed up a Ribbing case with sclerotic bone fenestration for 5 years. The radiological changes and the clinical effects are described, and the different Ribbing treatments are then briefly reviewed.

Indexed as

AdultCamurati-Engelmann SyndromeFemaleFemurFollow-Up StudiesHumansMagnetic Resonance ImagingOsteoma, OsteoidPainRadionuclide ImagingTechnetium Tc 99m MedronateTomography, X-Ray ComputedTechnetium Tc 99m MedronateBone fenestrationRibbing disease

Identifiers

PMID28101629
OpenAlexW2574376166

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.