Evidence map›Paper›PMID 32736606›Full record

ArticleBMC infectious diseases2020

Predictive value of TNF-α, IFN-γ, and IL-10 for tuberculosis among recently exposed contacts in the United States and Canada.

Mary R Reichler, Christina Hirsch, Yan Yuan, Awal Khan, Susan E Dorman, Neil Schluger, Timothy R Sterling, Tuberculosis Epidemiologic Studies Consortium Task Order 2 Team

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
0.2field-weighted citation impact, top 37% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Elevated IP-10 at the Protein and Gene Level Associates With Pulmonary TB.Frontiers in cellular and infection microbiology · 2022
    Article
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

8 authors at 6 institutions in 1 country.

Mary R ReichlerNational Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Mailstop E-10, 1600 Clifton Road NE, 30329-4027, Atlanta, GA, USA. reichlermrr31@gmail.com.
Christina HirschDepartment of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Yan YuanNational Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Mailstop E-10, 1600 Clifton Road NE, 30329-4027, Atlanta, GA, USA.
Awal KhanNational Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Mailstop E-10, 1600 Clifton Road NE, 30329-4027, Atlanta, GA, USA.
Susan E DormanDepartment of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Neil SchlugerDepartment of Medicine, Columbia University, New York, NY, USA.
Timothy R SterlingDepartment of Medicine, Vanderbilt University, Nashville, TN, USA.
Tuberculosis Epidemiologic Studies Consortium Task Order 2 Team
Vanderbilt University · USCenters for Disease Control and Prevention · USColumbia University · USNational Center for HIV/AIDS Viral Hepatitis STD and TB Prevention · USCase Western Reserve University · USJohns Hopkins University · US

Funding

National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention 200-2001/0002
6 · The paper itself

Abstract

backgroundWe examined cytokine immune response profiles among contacts to tuberculosis patients to identify immunologic and epidemiologic correlates of tuberculosis.

methodsWe prospectively enrolled 1272 contacts of culture-confirmed pulmonary tuberculosis patients at 9 United States and Canadian sites. Epidemiologic characteristics were recorded. Blood was collected and stimulated with Mycobacterium tuberculosis culture filtrate protein, and tumor necrosis factor (TNF-α), interferon gamma (IFN-γ), and interleukin 10 (IL-10) concentrations were determined using immunoassays.

resultsOf 1272 contacts, 41 (3.2%) were diagnosed with tuberculosis before or < 30 days after blood collection (co-prevalent tuberculosis) and 19 (1.5%) during subsequent four-year follow-up (incident tuberculosis). Compared with contacts without tuberculosis, those with co-prevalent tuberculosis had higher median baseline TNF-α and IFN-γ concentrations (in pg/mL, TNF-α 129 versus 71, P < .01; IFN-γ 231 versus 27, P < .001), and those who subsequently developed incident tuberculosis had higher median baseline TNF-α concentrations (in pg/mL, 257 vs. 71, P < .05). In multivariate analysis, contact age < 15 years, US/Canadian birth, and IFN or TNF concentrations > the median were associated with co-prevalent tuberculosis (P < .01 for each); female sex (P = .03) and smoking (P < .01) were associated with incident tuberculosis. In algorithms combining young age, positive skin test results, and elevated CFPS TNF-α, IFN-γ, and IL-10 responses, the positive predictive values for co-prevalent and incident tuberculosis were 40 and 25%, respectively.

conclusionsCytokine concentrations and epidemiologic factors at the time of contact investigation may predict co-prevalent and incident tuberculosis.

Indexed as

AdolescentAdultAgedBiomarkersCanadaChildChild, PreschoolContact TracingFemaleHumansInfantInfant, NewbornInterferon-gammaInterleukin-10MaleMiddle AgedBiomarkersIL10 protein, humanInterferon-gammaInterleukin-10Tumor Necrosis Factor-alphaContactsCytokinesEpidemiologyImmune correlatesInterferon gammaInterleukin 10TuberculosisTumor necrosis factor

Identifiers

PMID32736606
PMCPMC7394686
OpenAlexW3046634084

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.