Evidence map›Paper›PMID 31143654›Full record

ArticleQuantitative imaging in medicine and surgery2019

Justification of whole-body CT in polytrauma patients, can clinical examination help selecting patients?

Richa Arora, Abhishek J Arora

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Comparison of whole body computed tomography findings with physician predictions in high-energy blunt trauma patients: prospective observational study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Observational
  6. Article
  7. Observational
  8. Article
  9. Review
  10. Article
  11. 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.

Richa AroraDepartment of Radiology, Aintree University Hospital, Liverpool, UK.
Abhishek J AroraDepartment of Radiology, Nizam's Institute of Medical Sciences, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole-body computed tomography (WBCT) is used indiscriminately in trauma cases, just on the suspicion of them being polytrauma cases. A good clinical examination done pre-emptively could prevent the need for this investigation and its undesirous effects. We did this study with an overall aim to assess, if WBCT can be limited to subgroup of trauma patients without compromising clinical safety.

methodsRetrospective database analysis of 150 cases of polytrauma who underwent WBCT in 2017 was performed. We recorded age, gender, radiation dose and CT findings in all cases and calculated mean age, number of total patients and female patients less than 25 years of age, number of normal WBCT scans, mean radiation dose in the normal and total scans. We also compared pre-test clinical requests with whole-body CT findings, and categorised them in following seven categories: Category 1-Normal Scans; Category 2-Clinically expected Major Injuries; Category 3-Clinically expected Minor Injuries (low risk injuries with no risk of morbidity or mortality if remained undiagnosed), Category 4-Clinically expected CT findings with unexpected Minor (non-serious) injuries; Category 5-Clinically expected CT findings with unexpected Major (serious) injuries, Category 6-Unexpected Minor (non-serious) injuries; Category 7-Unexpected Major (serious) injuries. Categories 2 &3 of clinically expected major and minor injuries included patients with fewer injuries than expected. On the other hand, Category 4 & 5 consist of clinically expected findings with other unexpected injuries, including minor and major injuries respectively. Body injuries were reported in seven areas as per our institutional reporting protocol- Head (including face), Cervical Spine, Thoracolumbar Spine, Chest, Abdomen, Pelvis and Appendicular Skeleton (if asked for).

resultsOverall, we found statistically significant correlation between clinical suspicion raised and WBCT findings with good clinical correlation noticed in 106 (70.66%) cases (including 61 cases of clinically suspected major injuries, 15 cases of clinically suspected minor injuries and 25 nearly normal scans with no obvious clinical concern). Isolated unexpected serious injury without any clinical suspicion was seen in only 1 case. Surprisingly, 25 scan requests were made due to high risk mechanism of injury with no obvious clinical concern and were found normal in 20 cases and showed very subtle injuries in 5. Notably, 30 cases of expected major and minor injuries showed highly accurate clinical findings with no injury other than the region of concern and in these cases, limited scan requests would have been sufficient. Mean radiation dose of the entire study group was 22.45 mSv and those to normal patients was 21.19 mSv.

conclusionsThis study re-emphasizes the significance of good clinical examination in the era of evidence based medicine, which would reduce the high number of unnecessary high dose WBCT (25 scans with no positive findings on clinical examination were nearly normal and in 30 cases limited CT would have been sufficient), thereby, decreasing radiation exposure and its potential side effects on polytrauma patients without affecting their survival.

Indexed as

emergency radiologytraumaWhole-body computed tomography (WBCT)

Identifiers

PMID31143654
PMCPMC6511726

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.