Evidence map›Paper›PMID 36310552›Full record

ArticleIndian journal of orthopaedics2022

A Demographic Profile of Disability Assessed Patients in Selected Tertiary Care Hospitals in Coastal Karnataka, India: A Retrospective Study.

Ullasa Shetty

Open access · greenAbstract read
In one paragraph

Article in Indian journal of orthopaedics, 2022. 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
0.7field-weighted citation impact, top 25% 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, 2 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

1 author at 1 institution in 1 country.

Ullasa ShettyDepartment of Forensic Medicine and Toxicology, A.J. Institute of Medical Sciences and Research Centre, Mangalore, Karnataka 575004 India.ORCID 0000-0002-6449-8114
Mangalore Institute of Oncology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Disability assessment is a critical component in getting a comprehensive and amicable compensation in medico-legal cases. The data regarding acquired disability among the hospital-admitted patients are lacking. The purpose of this study was to determine the demographic profile of disability-assessed patients in tertiary care hospitals in Coastal Karnataka, India between 2010 and 2019. The study also aims to evaluate the pitfalls in the present assessment method. Materials and Methods: A record-based retrospective study of all the cases assessed by the investigator in tertiary care hospitals in Coastal Karnataka between 2010 and 2019 was analyzed. The disability was assessed using Govt. of India guidelines. Data were analyzed using descriptive statistics. Results: A total of 2004 cases were analyzed; among them, 85% were males. The average percentage of disability was 26% (SD = 16.2). Mean age of the patients was 38 years, the median calculated for duration of hospital stay was 15 days, and 15% patients had multiple disabilities. The Brachial plexus injury resulted in the highest percentage of disability (76%) followed by spine (43%) and head injury (38%). Locomotor disability was found in 77% of cases, and lower limbs and right side were involved twice more than the upper limbs and left side. Conclusion: The study reveals the demographic profile of disability-assessed patients admitted in hospitals. This database will help to create awareness among health care professionals, Govt. bodies, and insurance companies about the magnitude of the problem. Supplementary Information: The online version contains supplementary material available at 10.1007/s43465-022-00706-4.

Indexed as

AssessmentCoastal KarnatakaDemographic profileDisability

Identifiers

PMID36310552
PMCPMC9562943
OpenAlexW4293762914

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.