Evidence map›Paper›PMID 33411262›Full record

ArticleInternal and emergency medicine2021

The value of trauma patients' centralization: an analysis of a regional Italian Trauma System performance with TMPM-ICD-9.

Paola Fugazzola, Vanni Agnoletti, Silvia Bertoni, Costanza Martino, Matteo Tomasoni, Federico Coccolini, Emiliano Gamberini, Emanuele Russo, Luca Ansaloni

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In one paragraph

Article in Internal and emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 47% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Transport and destination hospital for patients with suspected multiple and/or severe injuries - a systematic review and clinical practice guideline update.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Pooled it
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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 4 institutions in 1 country.

Paola FugazzolaGeneral and Emergency Surgery Unit, Bufalini Hospital, Viale G. Ghirotti 286, 47521, Cesena, FC, Italy. paola.fugazzola@gmail.com.ORCID http://orcid.org/0000-0002-6227-9276
Vanni AgnolettiIntensive Care Unit, Bufalini Hospital, Cesena, Italy.
Silvia BertoniClinical and Organizational Research, AUSL Romagna, Ravenna, Italy.
Costanza MartinoIntensive Care Unit, Bufalini Hospital, Cesena, Italy.
Matteo TomasoniGeneral and Emergency Surgery Unit, Bufalini Hospital, Viale G. Ghirotti 286, 47521, Cesena, FC, Italy.
Federico CoccoliniEmergency Surgery Unit, State University of Pisa, Cisanello Hospital, Pisa, Italy.
Emiliano GamberiniIntensive Care Unit, Bufalini Hospital, Cesena, Italy.
Emanuele RussoIntensive Care Unit, Bufalini Hospital, Cesena, Italy.
Luca AnsaloniEmergency Surgery Department, IRCCS San Matteo, Pavia, Italy.
Ospedale “M. Bufalini” di Cesena · ITAzienda Unità Sanitaria Locale Della Romagna · ITPoliclinico San Matteo Fondazione · ITUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, many studies showed that the Trauma Mortality Probability Model (TMPM-ICD-9) had better calibration compared to other ICD-9-based models and to the ones based to the Abbreviated Injury Scale (AIS). The study aims to assess the validity of TMPM-ICD-9 in predicting injury severity in an Italian region and, through this model, to assess the performances of the Trauma Systems SIAT Romagna.

methodsAdministrative data of trauma patients admitted in the Trauma System of SIAT Romagna, in Northern Italy, from 2014 to 2018 were obtained. The XISS, an indirect indicator of Injury Severity Score (ISS) and the TMPM-POD (Probability of Death) were calculated from ICD-9-CM codes. Only patients with XISS > 15 were included. Student t-test, Mann-Whitney test and Chi-square test were used for univariate analyses, while logistic regression for multivariate analyses.

results3907 trauma patients with XISS > 15 were included. The Hub hospital (HUB) received 47.1% of these patients. Patients treated in HUB had higher TMPM-POD than in SPOKE + PST (mean TMPM-POD ± SD: HUB 0.093 ± 0.091, SPOKE + PST 0.082 ± 0.90, p < 0.027), but only age and sex were significant risk factors for centralization at multivariate analyses. Higher age (73.1 ± 21.2 vs 66.9 ± 21.2, p < 0.001), higher XISS (16(9) vs 16(4), p < 0.001) and higher TMPM-POD (0.15 ± 0.14 vs 0.08 ± 0.08, p < 0.001) resulted significant risk factors for mortality at multivariate analysis. Lower age, higher XISS and lower Trauma Centers (TC) level were significant risk factors for splenectomy at multivariate analysis. The splenectomy rate was 1.3% in HUB and of 2.2% in SPOKE + PST (Risk Ratio = 0.4, p = 0.002).

conclusionsPresent analysis proved the validity of TMPM-ICD-9 in predicting mortality of trauma patients in an Italian region. Furthermore, the usefulness of data extracted from an administrative database to assess the performance of a TS and the importance of an adequate centralization process have emerged. Even with a higher TMPM-POD and with the same mortality rate, HUB showed a higher spleen salvage rate compared to SPOKE + PST. However, thanks to this model, an improvable centralization process in SIAT Romagna was found in the study period. Probably, an enhanced centralization would have improved the spleen salvage rate, which is an important quality indicator in the evaluation of the performance of the TS.

Indexed as

Injury Severity ScoreInternational Classification of DiseasesTrauma CentersAgedAged, 80 and overDatabases, FactualFemaleHumansItalyLogistic ModelsMaleMiddle AgedCentralizationTMPMTMPM-ICD-9TraumaTrauma system

Identifiers

PMID33411262
OpenAlexW3119706598

What OpenQuestion holds

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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.