Evidence map›Paper›PMID 25700307›Full record

ArticleMedicine2015

Physician's first clinical impression of emergency department patients with nonspecific complaints is associated with morbidity and mortality.

Bettina Beglinger, Martin Rohacek, Selina Ackermann, Ralph Hertwig, Julia Karakoumis-Ilsemann, Susanne Boutellier, Nicolas Geigy, Christian Nickel, Roland Bingisser

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05311046 (Biomarker-enhanced Artificial Intelligence Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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.

NCT05311046 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Biomarker-enhanced Artificial Intelligence Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics

TypeobservationalSponsorComputer Technology Associates, Inc.Ran2026 to 2029Enrolled12,961ConditionsSepsisArmsPediatric sepsis screening tool (either algorithmic or manual)
3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Trial
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  3. Observational
  4. Article
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  6. Intergroup time bias and aversive racism in the medical context.Journal of personality and social psychology · 2024
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  8. Article
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  10. Observational
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  12. Observational
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  18. Observational
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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.

Bettina BeglingerFrom the Department of Emergency Medicine, University Hospital Basel, Switzerland (BB, MR, SA, JI, SB, CN, RB); Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany (RH); and Department of Emergency Medicine, Hospital of Liestal, Switzerland (NG).
Martin Rohacek
Selina Ackermann
Ralph Hertwig
Julia Karakoumis-Ilsemann
Susanne Boutellier
Nicolas Geigy
Christian Nickel
Roland Bingisser

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between the physician's first clinical impression of a patient with nonspecific complaints and morbidity and mortality is unknown. The aim was to evaluate the association of the physician's first clinical impression with acute morbidity and mortality. We conducted a prospective observational study with a 30-day follow-up. This study was performed at the emergency departments (EDs) of 1 secondary and 1 tertiary care hospital, from May 2007 to February 2011. The first clinical impression ("looking ill"), expressed on a numerical rating scale from 0 to 100, age, sex, and the Charlson Comorbidity Index (CCI) were evaluated. The association was determined between these variables and acute morbidity and mortality, together with receiver operating characteristics, and validity. Of 217,699 presentations to the ED, a total of 1278 adult nontrauma patients with nonspecific complaints were enrolled by a study team. No patient was lost to follow-up. A total of 84 (6.6%) patients died during follow-up, and 742 (58.0%) patients were classified as suffering from acute morbidity. The variable "looking ill" was significantly associated with mortality and morbidity (per 10 point increase, odds ratio 1.23, 95% confidence interval [CI] 1.12-1.34, P < 0.001, and odds ratio 1.19, 95% CI 1.14-1.24, P < 0.001, respectively). The combination of the variables "looking ill," "age," "male sex," and "CCI" resulted in the best prediction of these outcomes (mortality: area under the curve [AUC] 0.77, 95% CI 0.72-0.82; morbidity: AUC 0.68, 95% CI 0.65-0.71). The physician's first impression, with or without additional variables such as age, male sex, and CCI, was associated with morbidity and mortality. This might help in the decision to perform further diagnostic tests and to hospitalize ED patients.

Indexed as

Hospital MortalityMorbidityAdultAgedAged, 80 and overAge FactorsComorbidityEmergency Service, HospitalFemaleHumansMalePhysiciansPrognosisProspective StudiesSeverity of Illness IndexSex Factors

Identifiers

PMID25700307
PMCPMC4554174

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Registered trials

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.