Evidence map›Paper›PMID 37484901›Full record

ArticleJB & JS open access

Socioeconomic Status Affects Postoperative Time to Union in Pediatric Patients with a Surgically Treated Fracture.

David M Heath, Abdullah N Ghali, David A Momtaz, Sarah Nagel, Rishi Gonuguntla, Shwetha Menon, Hari N Krishnakumar, Matthew R Landrum, Grant D Hogue

Open access · goldAbstract read
In one paragraph

Article in JB & JS open access. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.8field-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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Fracture nonunion and delayed union.Journal of the Pediatric Orthopaedic Society of North America · 2024
    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

9 authors at 3 institutions in 1 country.

David M HeathDepartment of Orthopaedics, UT Health San Antonio, San Antonio, Texas.ORCID https://orcid.org/0000-0002-7963-9733
Abdullah N GhaliDepartment of Orthopaedics, Baylor College of Medicine, Houston, Texas.
David A MomtazDepartment of Orthopaedics, UT Health San Antonio, San Antonio, Texas.ORCID https://orcid.org/0000-0003-2086-5717
Sarah NagelDepartment of Orthopaedics, UT Health San Antonio, San Antonio, Texas.ORCID https://orcid.org/0000-0003-0433-1440
Rishi GonuguntlaDepartment of Orthopaedics, UT Health San Antonio, San Antonio, Texas.ORCID https://orcid.org/0000-0002-1182-6321
Shwetha MenonDepartment of Orthopaedics, UT Health San Antonio, San Antonio, Texas.
Hari N KrishnakumarDepartment of Orthopaedics, UT Health San Antonio, San Antonio, Texas.
Matthew R LandrumDepartment of Orthopaedics, UT Health San Antonio, San Antonio, Texas.ORCID https://orcid.org/0000-0003-2327-2327
Grant D HogueDepartment of Orthopaedics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.ORCID https://orcid.org/0000-0001-7507-0511
The University of Texas Health Science Center at San Antonio · USBaylor College of Medicine · USBoston Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fractures account for 10% to 25% of all pediatric injuries, and surgical treatment is common. In such cases, postoperative healing can be affected by a number of factors, including those related to socioeconomic status (SES). The purpose of this study was to investigate the relationship between time to fracture union and SES, which was measured with use of the median household income (MHI) and Child Opportunity Index (COI). Methods: A retrospective review was conducted of pediatric patients with a long-bone fracture that had been surgically treated at a Level-I pediatric trauma center between January 2010 and June 2020. Demographic and relevant medical data were collected. Patients were sorted into union and nonunion groups. The ZIP code of each patient was collected and the MHI and COI of that ZIP code were identified. Income brackets were created in increments of $10,000 ranging from $20,000 to $100,000, with an additional category of >$100,000, and patients were sorted into these groups according to MHI. Comparisons among the income groups and among the union status groups were conducted for each of the collected variables. A multiple regression analysis was utilized to determine the independent effect of each variable on time to union. Results: A total of 395 patients were included in the final sample, of whom 51% identified as Hispanic. Patients in the union group had a higher mean COI and MHI. Nonunion occurred in only 8 patients. Patients who achieved fracture union in ≤4 months had a significantly higher mean COI and MHI. When controlling for other demographic variables, the time to union increased by a mean of 9.6 days for every $10,000 decrease in MHI and increased by a mean of 6.8 days for every 10-unit decrease in the COI. Conclusions: The present study is the first, to our knowledge, to investigate the relationship between SES and time to fracture union in pediatric patients. When controlling for other demographic factors, we found a significant relationship between SES and time to union in pediatric patients with a surgically treated fracture. Further investigations of the relationship between SES and time to union in pediatric patients are needed to determine potential mechanisms for this relationship. Level of Evidence: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Identifiers

PMID37484901
PMCPMC10358791
OpenAlexW4385010856

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.