Evidence map›Paper›PMID 42317928›Full record

ArticleCureus2026

Epidemiology of Orthopaedic Trauma Admissions From the Emergency Department of a Major Trauma Centre in Rural North India.

Jasveer Singh, Dinesh Kumar, Ankit Mittal, Santosh Kumar Singh, Sohan Yadav, Ajay K Rajput, Pradeep K Gupta, Ajay K Saroj

Abstract read
In one paragraph

Article in Cureus, 2026. 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
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. 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

8 authors.

Jasveer SinghOrthopaedics, Uttar Pradesh University of Medical Sciences (UPUMS) Saifai, Saifai, IND.
Dinesh KumarOrthopaedic Surgery, Uttar Pradesh University of Medical Sciences (UPUMS) Saifai, Saifai, IND.
Ankit MittalOrthopaedics, Uttar Pradesh University of Medical Sciences (UPUMS) Saifai, Saifai, IND.
Santosh Kumar SinghOrthopaedics and Traumatology, Maa Vindhyawasini Autonomous State Medical College, Mirzapur, IND.
Sohan YadavOrthopaedics and Trauma, Uttar Pradesh University of Medical Sciences (UPUMS) Saifai, Saifai, IND.
Ajay K RajputOrthopaedics, Uttar Pradesh University of Medical Sciences (UPUMS) Saifai, Saifai, IND.
Pradeep K GuptaOrthopaedics, Uttar Pradesh University of Medical Sciences (UPUMS) Saifai, Saifai, IND.
Ajay K SarojOrthopaedics, Uttar Pradesh University of Medical Sciences (UPUMS) Saifai, Saifai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Orthopaedic trauma remains a major public health problem, particularly in rural India, where preventive strategies and trauma-care resources are often limited. This single‑centre descriptive observational study aimed to describe the epidemiological profile of orthopaedic trauma patients admitted to a major trauma centre in rural North India, with emphasis on age, sex, mechanism of injury, and pattern of skeletal involvement. This observational study included 2,340 consecutive patients of all ages admitted under orthopaedics with acute traumatic injuries after initial presentation to the emergency department between December 2022 and December 2024. Repeat admissions for the same injury episode were excluded, and polytrauma patients were included if they had at least one orthopaedic injury. Data were collected prospectively from patient interviews and direct observation, and supplemented by the hospital medical record system. Descriptive statistics were used to analyse the demographic characteristics, mechanisms of injury, injury types, and anatomical fracture sites; age‑group differences in selected injury categories were analysed using chi‑square tests. Out of 2,340 patients, the study population consisted of 1,760 (75.21%) male and 580 (24.79%) female patients. The most common age group was 20-29 years (480; 20.51%), followed by 30-39 years (419; 17.91%) and 10-19 years (390; 16.67%). Road traffic accidents were the leading mechanism of injury (1,242; 53.08%), followed by slip-and-fall on the ground (394; 16.84%) and falls from height (385; 16.45%). Other mechanisms included mechanical injury (98; 4.19%), hit by animal (88; 3.76%), assault (67; 2.86%), fall of heavy object (32; 1.37%), railway injury (18; 0.77%), and sports injury (16; 0.68%). Fractures were the most common injury type (2,182; 93.25%), followed by dislocations (80; 3.42%) and soft tissue injuries (78; 3.33%). Limb amputation/crush injury was recorded in 80 patients (3.42%). Single-bone involvement was seen in 2,006 patients (85.73%), while 176 (7.52%) had more than one fractured bone. Open fractures were 445 (19.02%) cases, and closed fractures were 1,737 (74.23%). The commonly involved anatomic sites included femur, distal radius, both-bone leg, ankle region, and foot. The number of recorded fracture sites exceeded the number of fracture patients because some patients had bilateral or multi-site injuries. In age-wise analysis, dislocations were most frequent in the 20-39-year group, while limb amputation/crush injuries and open fractures were most common in the 40-59-year group. There was no significant overall association between age group and selected injury categories. Most patients of orthopaedic trauma in rural North India are young adult males, most commonly injured in road traffic accidents. Fractures remain the leading injury pattern, with the femur and distal radius among the most commonly involved sites. Preventive strategies should focus on road safety, occupational protection, and strengthening trauma-care services.

Indexed as

emergency departmentinjury patternsorthopaedic injuriesorthopaedic patientsroad traffic accidents

Identifiers

PMID42317928
PMCPMC13271864

What OpenQuestion holds

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LicenceCC BY
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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.