Evidence map›Paper›PMID 29502527›Full record

ArticleMilitary Medical Research2018

Expert consensus on the evaluation and diagnosis of combat injuries of the Chinese People's Liberation Army.

Zhao-Wen Zong, Lian-Yang Zhang, Hao Qin, Si-Xu Chen, Lin Zhang, Lei Yang, Xiao-Xue Li, Quan-Wei Bao, Dao-Cheng Liu, Si-Hao He and 5 more

Abstract readConsensus Statement
PubMed Full text at PMC Publisher
In one paragraph

Article in Military Medical Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Guideline
  2. Review
  3. Review
  4. Article
  5. 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

15 authors.

Zhao-Wen ZongState Key Laboratory of Trauma, Burn and Combined Injury, Department of Trauma Surgery, Daping Hospital, Army Medical University, Chongqing, China. zongzhaowen@163.com.
Lian-Yang ZhangState Key Laboratory of Trauma, Burn and Combined Injury, Department of Trauma Surgery, Daping Hospital, Army Medical University, Chongqing, China.
Hao QinState Key Laboratory of Trauma, Burn and Combined Injury, Department of Trauma Surgery, Daping Hospital, Army Medical University, Chongqing, China.
Si-Xu ChenState Key Laboratory of Trauma, Burn and Combined Injury, Department of Trauma Surgery, Daping Hospital, Army Medical University, Chongqing, China.
Lin ZhangSpecial Slinic Department of Bethune Medical Profession Sergeant School, Shijiazhuang, China.
Lei YangState Key Laboratory of Trauma, Burn and Combined Injury, Department of Trauma Surgery, Daping Hospital, Army Medical University, Chongqing, China.
Xiao-Xue LiResearch Institute of Disaster Medicine, General Hospital of Chinese People's Armed Police Forces, Beijing, China.
Quan-Wei BaoState Key Laboratory of Trauma, Burn and Combined Injury, Department of Trauma Surgery, Daping Hospital, Army Medical University, Chongqing, China.
Dao-Cheng LiuState Key Laboratory of Trauma, Burn and Combined Injury, Department of Trauma Surgery, Daping Hospital, Army Medical University, Chongqing, China.
Si-Hao HeState Key Laboratory of Trauma, Burn and Combined Injury, Department of Trauma Surgery, Daping Hospital, Army Medical University, Chongqing, China.
Yue ShenState Key Laboratory of Trauma, Burn and Combined Injury, Department of Trauma Surgery, Daping Hospital, Army Medical University, Chongqing, China.
Rong ZhangMilitary Medical Training Brigade of Chinese People's Liberation Army, Hutubi, Xinjiang, Uygur Autonomous Region, China.
Yu-Feng ZhaoState Key Laboratory of Trauma, Burn and Combined Injury, Department of Trauma Surgery, Daping Hospital, Army Medical University, Chongqing, China.
Xiao-Zheng ZhongState Key Laboratory of Trauma, Burn and Combined Injury, Department of Trauma Surgery, Daping Hospital, Army Medical University, Chongqing, China.
representing the PLA Professional Committee and Youth Committee on Disaster Medicine

Funding

Innovation Project of Military Medicine 16CXZ017Special Project in Military Logistics Scientific Program during the Twelfth Five-year Plan Period AWS14L012
6 · The paper itself

Abstract

The accurate assessment and diagnosis of combat injuries are the basis for triage and treatment of combat casualties. A consensus on the assessment and diagnosis of combat injuries was made and discussed at the second annual meeting of the Professional Committee on Disaster Medicine of the Chinese People's Liberation Army (PLA). In this consensus agreement, the massive hemorrhage, airway, respiration, circulation and hypothermia (MARCH) algorithm, which is a simple triage and rapid treatment and field triage score, was recommended to assess combat casualties during the first-aid stage, whereas the abbreviated scoring method for combat casualty and the MARCH algorithm were recommended to assess combat casualties in level II facilities. In level III facilities, combined measures, including a history inquiry, thorough physical examination, laboratory examination, X-ray, and ultrasound examination, were recommended for the diagnosis of combat casualties. In addition, corresponding methods were recommended for the recognition of casualties needing massive transfusions, assessment of firearm wounds, evaluation of mangled extremities, and assessment of injury severity in this consensus.

Indexed as

ChinaConsensusDisability EvaluationHumansMilitary MedicineMilitary PersonnelTriageWarfareWounds and InjuriesAssessmentCombat injuriesDiagnosisExpert consensus

Identifiers

PMID29502527
PMCPMC5809991

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.