Evidence map›Paper›PMID 27888344›Full record

ArticleSurgery today2017

Impact of urgent resuscitative surgery for life-threatening torso trauma.

Hisashi Matsumoto, Yoshiaki Hara, Takanori Yagi, Nobuyuki Saito, Kazuki Mashiko, Hiroaki Iida, Tomokazu Motomura, Fumihiko Nakayama, Kazuhiro Okada, Hiroshi Yasumatsu and 5 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Surgery today, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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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

15 authors at 2 institutions in 1 country.

Hisashi MatsumotoShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan. hmatsu@nms.ac.jp.
Yoshiaki HaraShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan.
Takanori YagiShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan.
Nobuyuki SaitoShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan.
Kazuki MashikoShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan.
Hiroaki IidaShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan.
Tomokazu MotomuraShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan.
Fumihiko NakayamaShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan.
Kazuhiro OkadaShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan.
Hiroshi YasumatsuShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan.
Taigo SakamotoShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan.
Takao SeoShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan.
Yusuke KondaShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan.
You HattoriShock and Trauma Centre, Nippon Medical School Chiba Hokusoh Hospital, 1715, Kamakari, Inzai, Chiba Prefecture, 270-1694, Japan.
Hiroyuki YokotaDepartment of Emergency and Critical Care Medicine, Nippon Medical School, Tokyo, Japan.
Nippon Medical School · JPChiba Hokusou Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study investigated the advantages of performing urgent resuscitative surgery (URS) in the emergency department (ED); namely, our URS policy, to avoid a delay in hemorrhage control for patients with severe torso trauma and unstable vital signs.

methodsWe divided 264 eligible cases into a URS group (n = 97) and a non-URS group (n = 167) to compare, retrospectively, the observed survival rate with the predicted survival using the Trauma and Injury Severity Score (TRISS).

resultsWhile the revised trauma score and the injury severity score were significantly lower in the URS group than in the non-URS group, the observed survival rate was significantly higher than the predicted rate in the URS (48.5 vs. 40.2%; p = 0.038). URS group patients with a systolic blood pressure (SBP) <90 mmHg and a Glasgow coma scale (GCS) score of ≥9 had significantly higher observed survival rates than predicted survival rates (0.433 vs. 0.309, p = 0.008), (0.795 vs. 0.681, p = 0.004). The implementation of damage control surgery (DCS) was found to be a significant predictor of survival (OR 5.23, 95% CI 0.113-0.526, p < 0.010).

conclusionThe best indications for the URS policy are an SBP <90 mmHg, a GCS ≥9 on ED arrival, and/or the need for DCS. By implementing our URS policy, satisfactory survival of patients requiring immediate hemostatic surgery was achieved.

Indexed as

Ambulatory CareHemostasis, SurgicalAdultAgedFemaleGlasgow Coma ScaleHemorrhageHumansMaleMiddle AgedResuscitationRetrospective StudiesSurvival RateSystoleTorsoTrauma Severity IndicesDamage control surgeryEmergency departmentHemostatic operationResuscitative thoracotomyTrauma resuscitation

Identifiers

PMID27888344
PMCPMC5486610
OpenAlexW2552591046

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.