Evidence map›Paper›PMID 30591812›Full record

Observational studyBiochemia medica2019

Prognostic value of procalcitonin and lipopolysaccharide binding protein in cancer patients with chemotherapy-associated febrile neutropenia presenting to an emergency department.

Luis García de Guadiana-Romualdo, Pablo Cerezuela-Fuentes, Ignacio Español-Morales, Patricia Esteban-Torrella, Enrique Jiménez-Santos, Ana Hernando-Holgado, María Dolores Albaladejo-Otón

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Biochemia medica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
0.6field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. [Diagnostic accuracy of procalcitonin for bacteremia in the emergency department: a systematic review].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2024
    Pooled it
  4. Review
  5. Utility of procalcitonin and C-reactive protein as predictors of Gram-negative bacteremia in febrile hematological outpatients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  6. Article
  7. Article
  8. Review
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 at 1 institution in 1 country.

Luis García de Guadiana-RomualdoBiochemistry Department, University Hospital Santa Lucía, Cartagena, Spain.
Pablo Cerezuela-FuentesClinical Oncology Department, University Hospital Santa Lucía, Cartagena, Spain.
Ignacio Español-MoralesHematology Department, University Hospital Santa Lucía, Cartagena, Spain.
Patricia Esteban-TorrellaBiochemistry Department, University Hospital Santa Lucía, Cartagena, Spain.
Enrique Jiménez-SantosBiochemistry Department, University Hospital Santa Lucía, Cartagena, Spain.
Ana Hernando-HolgadoBiochemistry Department, University Hospital Santa Lucía, Cartagena, Spain.
María Dolores Albaladejo-OtónBiochemistry Department, University Hospital Santa Lucía, Cartagena, Spain.
Santa Lucía University General Hospital · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCancer patients with chemotherapy-induced febrile neutropenia are a heterogeneous group with a significant risk of serious medical complications. In these patients, the Multinational Association for Supportive Care in Cancer (MASCC) score is the most widely used tool for risk-stratification. The aim of this prospective study was to analyse the value of procalcitonin (PCT) and lipopolysaccharide binding protein (LBP) to predict serious complications and bacteraemia in cancer patients with febrile neutropenia, compared with MASCC score. MATERIALS AND

methodsData were collected from 111 episodes of febrile neutropenia admitted consecutively to the emergency department. In all of them, MASCC score was calculated and serum samples were collected for measurement of PCT and LBP by well-established methods. The main and secondary outcomes were the development of serious complications and bacteraemia, respectively.

resultsA serious complication occurred in 20 (18%) episodes and in 16 (14%) bacteraemia was detected. Areas under the receiver operating characteristic curve (ROC AUC) of MASCC score, PCT and LBP to select low-risk patients were 0.83 (95% confidence interval (CI): 0.74 - 0.89), 0.85 (95% CI: 0.77 - 0.91) and 0.70 (95% CI: 0.61 - 0.78), respectively. For bacteraemia, MASCC score, PCT and LBP showed ROC AUCs of 0.74 (95% CI: 0.64 - 0.82), 0.86 (95% CI: 0.78 - 0.92) and 0.76 (95% CI: 0.67 - 0.83), respectively.

conclusionA single measurement of PCT performs similarly as MASCC score to predict serious medical complications in cancer patients with febrile neutropenia and can be a useful tool for risk stratification. Besides, low PCT concentrations can be used to rule-out the presence of bacteraemia.

Indexed as

Emergency Service, HospitalAcute-Phase ProteinsAdultAgedAged, 80 and overAntineoplastic AgentsCarrier ProteinsChemotherapy-Induced Febrile NeutropeniaCohort StudiesFemaleHumansLipopolysaccharide-Binding ProteinMaleMembrane GlycoproteinsMiddle AgedNeoplasmsAcute-Phase ProteinsAntineoplastic AgentsCarrier ProteinsLipopolysaccharide-Binding ProteinMembrane GlycoproteinsProcalcitoninfebrile neutropenialipopolysaccharide binding proteinMultinational Association for Supportive Care in Cancerprocalcitoninprognosis

Identifiers

PMID30591812
PMCPMC6294152
OpenAlexW2904180071

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.