Evidence map›Paper›PMID 26346028›Full record

Trial reportBioMed research international2015

Blood or Urine IP-10 Cannot Discriminate between Active Tuberculosis and Respiratory Diseases Different from Tuberculosis in Children.

Linda Petrone, Angela Cannas, Francesco Aloi, Martin Nsubuga, Joseph Sserumkuma, Ritah Angella Nazziwa, Levan Jugheli, Tedson Lukindo, Enrico Girardi, Klaus Reither and 1 more

Open access · hybridAbstract readClinical TrialMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 5 pooled it
5.2field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 5 syntheses or guidelines pooled it, 60 citations in OpenAlex.

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  17. The role of antibodies in tuberculosis diagnosis, prophylaxis and therapy: a review from the ESGMYC study group.European respiratory review : an official journal of the European Respiratory Society · 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

11 authors at 3 institutions in 3 countries.

Linda PetroneTranslational Research Unit, Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases (INMI), 00149 Rome, Italy.
Angela CannasTranslational Research Unit, Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases (INMI), 00149 Rome, Italy.
Francesco AloiItalian Association for Solidarity among People (AISPO), P.O. Box 7146, Kampala, Uganda ; St. Francis Nsambya Hospital, P.O. Box 7146, Kampala, Uganda.
Martin NsubugaSt. Francis Nsambya Hospital, P.O. Box 7146, Kampala, Uganda.
Joseph SserumkumaSt. Francis Nsambya Hospital, P.O. Box 7146, Kampala, Uganda.
Ritah Angella NazziwaSt. Francis Nsambya Hospital, P.O. Box 7146, Kampala, Uganda.
Levan JugheliSwiss Tropical and Public Health Institute, Medical Services and Diagnostic Department, 4002 Basel, Switzerland ; University of Basel, 4003 Basel, Switzerland ; Ifakara Health Institute, Bagamoyo Research and Training Center, P.O. Box 78373, Bagamoyo, Tanzania.
Tedson LukindoIfakara Health Institute, Bagamoyo Research and Training Center, P.O. Box 78373, Bagamoyo, Tanzania.
Enrico GirardiDepartment of Epidemiology and Preclinical Research, National Institute for Infectious Diseases (INMI), 00149 Rome, Italy.
Klaus ReitherSwiss Tropical and Public Health Institute, Medical Services and Diagnostic Department, 4002 Basel, Switzerland ; University of Basel, 4003 Basel, Switzerland ; Ifakara Health Institute, Bagamoyo Research and Training Center, P.O. Box 78373, Bagamoyo, Tanzania.
Delia GolettiTranslational Research Unit, Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases (INMI), 00149 Rome, Italy.
Ifakara Health Institute · TZNsambya Hospital · UGAfrican Palliative Care Association · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesInterferon-γ inducible protein 10 (IP-10), either in blood or in urine, has been proposed as a tuberculosis (TB) biomarker for adults. This study aims to evaluate the potential of IP-10 diagnostics in children from Uganda, a high TB-endemic country.

methodsIP-10 was measured in the blood and urine concomitantly taken from children who were prospectively enrolled with suspected active TB, with or without HIV infection. Clinical/microbiological parameters and commercially available TB-immune assays (tuberculin skin test (TST) and QuantiFERON TB-Gold In-Tube (QFT-IT)) were concomitantly evaluated.

resultsOne hundred twenty-eight children were prospectively enrolled. The analysis was performed on 111 children: 80 (72%) of them were HIV-uninfected and 31 (27.9%) were HIV-infected. Thirty-three healthy adult donors (HAD) were included as controls. The data showed that IP-10 is detectable in the urine and blood of children with active TB, independent of HIV status and age. However, although IP-10 levels were higher in active TB children compared to HAD, the accuracy of identifying "active TB" was low and similar to the TST and QFT-IT.

conclusionIP-10 levels are higher in children with respiratory illness compared to controls, independent of "TB status" suggesting that the evaluation of this parameter can be used as an inflammatory marker more than a TB test.

Indexed as

AdolescentAdultChemokine CXCL10ChildChild, PreschoolFemaleHumansInfantMalePredictive Value of TestsProspective StudiesTuberculosis, PulmonaryUgandaChemokine CXCL10CXCL10 protein, human

Identifiers

PMID26346028
PMCPMC4540955
OpenAlexW1902712605

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.