Evidence map›Paper›PMID 31086619›Full record

ArticleThe Pan African medical journal2018

The role of

Job Kisuya, Alex Chemtai, Evans Raballah, Wilson Okumu, Alfred Keter, Collins Ouma

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 5 institutions in 1 country.

Job KisuyaDepartment of Biomedical Science and Technology, Maseno University, Maseno, Kenya.
Alex ChemtaiDepartment of Immunology, Moi University, Eldoret, Kenya.
Evans RaballahDepartment of Medical Laboratory Sciences, Masinde Muliro University of Science and Technology, Kakamega, Kenya.
Wilson OkumuDepartment of Medical Biochemistry, Maseno University, Maseno, Kenya.
Alfred KeterAcademic Model for Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Collins OumaDepartment of Biomedical Science and Technology, Maseno University, Maseno, Kenya.
Maseno University · KEAMPATH · KEKenya Medical Research Institute · KEMasinde Muliro University of Science and Technology · KEMoi University · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe interaction between

methodsIn a prospective cohort, a total of 86 study participants were recruited: 46 culture-negative and 40 culture-positive. Blood and sputum samples were collected from all participants. The blood was then analyzed using FACSCalibur flow cytometer to immunophenotype the cells and ELISA performed for cytokine profiles. Sputum samples were analyzed to determine smear status using direct microscopy and Lowenstein Jensen medium. Statistical analyses were performed using R software. Independent samples t-test was used to compare means between the two groups, while the medians were compared using two-sample Wilcoxon rank sum test. Pearson's Chi-square test was used to compare the proportion of male and female participants across the culture and AFB smear status. In order to determine the predictive power of Th1 and Th2 in discriminating Pulmonary Tuberculosis status (PTB) (culture status was used as a confirmatory test), binary logistic regression models were fitted for Th1 covariates [IFN-γ, TNF-α, IL-2 and IL-12(p70)] and Receiver Operating Characteristic (ROC) curves plotted.

resultsThe overall mean age of the participants was 39 years (SD=12), 42% being male. Although, lymphocytes counts were higher in culture-positive relative to culture-negative, the CD8, CD19, and CD16/CD56 were comparable in the two groups. The CD4 counts differed between the two groups (P=0.012). The Th1 showed a better discrimination between culture-positive and -negative PTB individuals; IFN-γ (P=0.001), TNF-α (P=0.001), IL-2 (P=0.001) and IL-12(p70) (P=0.016). The Th2 cytokines (IL-4, IL-6 and IL-10) were comparable between the culture-positive and -negative groups. However, when the combination of Th1 cytokines [IFN-γ, TNF-α, IL-2 and IL-12(p70)] was fitted in binary logistic regression models, the predictive power was high with area under curve (AUC) being 89.7% in discriminating PTB.

conclusionThis study provides evidence for the ability of a combination of Th1 cytokines in discriminating against culture-positive and culture-negative PTB.

Indexed as

AdultAntigens, BacterialCD4 Lymphocyte CountCohort StudiesCoinfectionCytokinesEnzyme-Linked Immunosorbent AssayHIV InfectionsHumansLogistic ModelsMaleMiddle AgedMycobacterium tuberculosisProspective StudiesSputumStatistics, NonparametricAntigens, BacterialCytokinesMycobacterium tuberculosis antigensculturecytokinesHIV-TB co-infectionMycobacterium tuberculosis

Identifiers

PMID31086619
PMCPMC6488244
OpenAlexW2900181681

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.