Evidence map›Paper›PMID 29018215›Full record

ArticleScientific reports2017

Impact of Infectious Disease Consultation on Clinical Management and Outcome of Patients with Bloodstream Infection: a Retrospective Cohort Study.

Guangmin Tang, Liang Huang, Zhiyong Zong

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-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

13 citing papers in PubMed, 23 citations in OpenAlex.

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  8. Impact of a bloodstream infection stewardship program in hospitalized patients.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2022
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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

3 authors at 1 institution in 1 country.

Guangmin TangCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.
Liang HuangCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.
Zhiyong ZongCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China. zongzhiy@scu.edu.cn.
West China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of consultation by infectious diseases (ID) physicians on management and outcomes of patients has not been determined in China. We assembled a retrospective cohort of 995 consecutive adult cases with bloodstream infections (BSI) in a major teaching hospital in China. Survival analysis was performed with Cox regression and the Kaplan-Meier curves. Among the 995 patients with BSI, 421 (42.3%) received consultation by ID physicians and 574 (57.7%) did not. ID consultation led to a significant lower hazard of death (hazard ratio [HR], 0.575; P < 0.05) and more appropriate antimicrobial use (95.0% vs 67.6%, P < 0.05). ID consultation was a protective factor among patients with BSI due to Gram-positive (HR, 0.551; P < 0.05) or Gram-negative (HR, 0.331; P < 0.05) bacteria. Multiple ID consultation was a protective factor (HR, 0.51; P < 0.05), while single consultation was not. In conclusion, ID consultation led to significant lower risk for patients with BSI and improved management. Multiple rather than single ID consultations reduced the hazard of death.

Indexed as

Referral and ConsultationCommunicable DiseasesFemaleHumansKaplan-Meier EstimateMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesTreatment Outcome

Identifiers

PMID29018215
PMCPMC5635120
OpenAlexW2760841900

What OpenQuestion holds

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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.