Evidence map›Paper›PMID 33569100›Full record

ReviewIndian journal of orthopaedics2021

Supracondylar Humerus Fractures: Classification Based Treatment Algorithms.

Mudit Shah, Mandar Vikas Agashe

Abstract readReview
In one paragraph

Review in Indian journal of orthopaedics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Radiographic and clinical factors associated with open reduction in pediatric supracondylar humerus fractures.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2026
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  7. Review
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  9. Epidemiology and Management of Pediatric Fractures in Malawi.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2024
    Article
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  11. Article
  12. Article
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  15. 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

2 authors.

Mudit ShahDr. Agashe's Maternity and Surgical Nursing Home, Vrindavan Building, Junction of LBS Marg, Andheri-Kurla Rd, Wadia Colony, Kurla, Mumbai, 400070 India.
Mandar Vikas AgasheDr. Agashe's Maternity and Surgical Nursing Home, Vrindavan Building, Junction of LBS Marg, Andheri-Kurla Rd, Wadia Colony, Kurla, Mumbai, 400070 India.ORCID 0000-0002-5475-2086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supracondylar humerus fractures are the most common fractures around the elbow in children between 4 and 10 years of age. The treatment of supracondylar humerus fractures can vary from conservative treatment to operative treatment depending on the fracture type. All around the world, the most commonly used classification system is the Wilkins-modified Gartland classification of supracondylar humerus fractures. Currently, the decision to operate or conserve the fracture is taken on basis of this classification system. Non-operative treatment for type I fractures and operative treatment for type III fractures have been well-established in literature. The management of type II supracondylar humerus fracture creates confusion in the minds of numerous orthopaedic surgeons around the world. We have tried addressing this using a classification-based treatment algorithm. Other classification systems like the AO classification, Lagrange and Rigault classification and Bahk classification with special reference to special fracture patterns that require attention and pre-op planning have also been mentioned. It is important to understand that operative management of each supracondylar humerus fracture is unique as regards fixation method and it is important to consider the fracture pattern before internal fixation.

Indexed as

ClassificationFracture patternSupracondylar humerus fractureTreatment algorithm

Identifiers

PMID33569100
PMCPMC7851217

What OpenQuestion holds

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Registered trials

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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.