Evidence map›Paper›PMID 30064595›Full record

ArticleThe American surgeon2018

The Impact of Trauma Center Patient Volume on Observed/Expected Mortality: Does Size Matter?

Adel Elkbuli, Alyssa Eily, Shaikh Hai, Mark McKenney, Orlando Morejon

Expression of concernAbstract readMulticenter Study
PubMed
In one paragraph

Article in The American surgeon, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Process times of severely injured patients in the emergency room are associated with patient volume: a registry-based analysis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022
    Article
  3. Observational
  4. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Adel Elkbuli
Alyssa Eily
Shaikh Hai
Mark McKenney
Orlando Morejon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Relationship between trauma center patient volume (TCV) and mortality remains inconclusive. Our aim was to determine the relationship between TCVs and observed/expected (O/E) all-cause mortality. This is the first study to evaluate the relationship between trauma center (TC) volumes and O/E all-cause mortality with no exclusion. Review of prospectively collected data from 94 TCs using the National Sample Program from the National Trauma Data Bank 2013. TCs were stratified into five groups based on TCV: <701, 701 to 1200, 1201 to 1700, 1701 to 2200, and >2200 yearly patient encounters. Chi-square and coefficient of determination were used for data analysis with a statistical significance defined as P-value < 0.05. A total of 139,324 trauma patients with blunt and penetrating injuries were evaluated from the National Sample Program. Of which, 63.6 per cent were male, 70.6 per cent white, and the average age was 41 years. The data were stratified by TCV into five groups with average O/Es ranging from 0.69 to 0.86 (P > 0.05). The coefficient of determination between TCV and O/E was r = 0.14 and r2 = 0.02. When controlling for Injury Severity Score, the correlation between mechanism of injury (blunt vs penetrating) and O/E mortality was r = -0.025. The group with the lowest average volumes had statistically significantly worse outcomes than the group with next higher volumes and also worse than the group with the highest volumes (Group 5, P = 0.04). Higher TC volumes correlated with higher injury severity and lower O/E mortality.

Indexed as

Hospital MortalityTrauma CentersAdultDatabases, FactualFemaleHumansInjury Severity ScoreMaleRetrospective StudiesUnited StatesWounds, NonpenetratingWounds, Penetrating

Identifiers

PMID30064595

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.