Evidence map›Paper›PMID 27993698›Full record

ArticleJournal of the American College of Surgeons2017

Lead-Time Bias and Interhospital Transfer after Injury: Trauma Center Admission Vital Signs Underpredict Mortality in Transferred Trauma Patients.

Daniel N Holena, Douglas J Wiebe, Brendan G Carr, Jesse Y Hsu, Jason L Sperry, Andrew B Peitzman, Patrick M Reilly

Abstract read
In one paragraph

Article in Journal of the American College of Surgeons, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  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

7 authors.

Daniel N HolenaDivision of Traumatology, Surgical Critical Care and Emergency Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; The Penn Injury Science Center at the University of Pennsylvania, Philadelphia, PA. Electronic address: Daniel.holena@uphs.upenn.edu.
Douglas J WiebeCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; The Penn Injury Science Center at the University of Pennsylvania, Philadelphia, PA.
Brendan G CarrDepartment of Emergency Medicine, Jefferson University School of Medicine, Philadelphia, PA.
Jesse Y HsuCenter for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Jason L SperryDepartment of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Andrew B PeitzmanDepartment of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Patrick M ReillyDivision of Traumatology, Surgical Critical Care and Emergency Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; The Penn Injury Science Center at the University of Pennsylvania, Philadelphia, PA.

Funding

Enabling Medical Research Growth in Emergency MedicineK12HL109009 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI KIMMEL, STEPHEN E. · 2011 to 2015
$3.4M
Reducing mortality attributable to cardiac and pulmonary complications after traumatic injury: understanding the role of failure-to-rescueK08HL131995 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HOLENA, DANIEL NORMAN · 2016 to 2018
$509k
NCIPC CDC HHS R49 CE002474NHLBI NIH HHS K08 HL131995NHLBI NIH HHS K12 HL109009NHLBI NIH HHS L30 HL133386
6 · The paper itself

Abstract

backgroundAdmission physiology predicts mortality after injury, but may be improved by resuscitation before transfer. This phenomenon, which has been termed lead-time bias, may lead to underprediction of mortality in transferred patients and inaccurate benchmarking in centers receiving large numbers of transfer patients. We sought to determine the impact of using vital signs on arrival at the referring center vs on arrival at the trauma center in mortality prediction models for transferred trauma patients. STUDY

designWe performed a retrospective cohort study using a state-wide trauma registry including all patients age 16 years or older, with Abbreviated Injury Scale scores ≥ 3, admitted to level I and II trauma centers in Pennsylvania, from 2011 to 2014. The primary outcomes measure was the risk-adjusted association between mortality and interhospital transfer (IHT) when adjusting for physiology (as measured by Revised Trauma Score [RTS]) using the referring hospital arrival vital signs (model 1) compared with trauma center arrival vital signs (model 2).

resultsAfter adjusting for patient and injury factors, IHT was associated with reduced mortality (odds ratio [OR] 0.85; 95% CI 0.77 to 0.93) using the RTS from trauma center admission, but with increased mortality (OR 1.15; 95% CI 1.05 to 1.27) using RTS from the referring hospital. The greater the number of transfer patients seen by a center, the greater the difference in center-level mortality predicted by the 2 models (β -0.044; 95% CI -0.044 to -0.0043; p ≤ 0.001).

conclusionsTrauma center vital signs underestimate mortality in transfer patients and may lead to incorrect estimates of expected mortality. Where possible, benchmarking efforts should use referring hospital vital signs to risk-adjust IHT patients.

Indexed as

Patient TransferTrauma CentersVital SignsAdultAgedFemaleHospitalizationHospital MortalityHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesTrauma Severity IndicesWounds and Injuries

Identifiers

PMID27993698
PMCPMC5328799

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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.