Evidence map›Paper›PMID 30455877›Full record

ArticleAnnals of medicine and surgery (2012)2018

Evaluation of BCL2 and TNFα as mRNA biomarkers for monitoring the immune response in critically ill children.

Ahmed Nabih El Shazly, Doaa Refaey Soliman, Shuzan Ali Mohammed, Rasha Mohammed Zakaria, Fatma Elzahraa Mohammed Awais

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of medicine and surgery (2012), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Ahmed Nabih El ShazlyDepartment of Pediatrics, Faculty of Medicine, Benha University, Benha, Qualubia, Egypt.
Doaa Refaey SolimanDepartment of Pediatrics, Faculty of Medicine, Benha University, Benha, Qualubia, Egypt.
Shuzan Ali MohammedDepartment of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Benha University, Benha, Qualubia, Egypt.
Rasha Mohammed ZakariaDepartment of Pediatrics, Faculty of Medicine, Benha University, Benha, Qualubia, Egypt.
Fatma Elzahraa Mohammed AwaisDepartment of Pediatrics, Faculty of Medicine, Benha University, Benha, Qualubia, Egypt.
Benha University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospital acquired infection (HAI) and multiple organ dysfunctions (MODS) remain a leading cause of death in pediatric intensive care unit (PICU) despite the great efforts to control it.

objectiveOur objective was to assess the mRNA of TNFα and BCL2 for prediction of HAI and/or MODS in our community. PATIENTS AND

methodsFifty children, admitted to PICU, were included in the study after exclusion of cases of end-stage renal failure, end-stage liver failure and congenital immune deficiency. Serial Blood samples were collected for complete blood count (CBC) and other routine investigations. Gene expression of (TNFα and BCL2) was quantified using quantitative real time PCR (qRT-PCR). Centers of disease control (CDC) criteria were used to detect HAI, and organ failure index (OFI). Pediatric logistic organ dysfunction (PELOD) and pediatric risk of mortality (PRISM) scores were used for follow up. The results were compared between the group who acquired HAI and who didn't. Gene expression was tested with a ROC curve to detect its ability to predict HAI. MAIN

resultsThe overall complication (HAI and/or MODS) rate was 52%, Complicated cases had a significantly longer duration of stay in PICU (0.002) and in overall hospital stay (p = 0.013) and a higher death rate (p = 0.000). On day1; TNFα, BCL2 and lymphocytic count were lower in patients who developed complications (p = 0.02, p = 0.000 and p = 0.04, respectively), all had the ability to predict the complications with AUC (0.7, 0.8 and 0.67 respectively). On day 4: TNFα and BCL2 returned to normal levels while the lymphocytic count still lower in complicated cases, p = 0.001 and AUC = 0.73.

conclusionsTNFα and BCL2 on admission can predict HAI and MODS (AUC = 0.7 and AUC = 0.8), but were of no use in the follow-up, however, the lymphocytic count is a rapid, easy and cheap test to assess the immune state with a good predictive and follow up values.

Indexed as

AUC, Area under the curveBCL2BCL2, B-cell lymphoma 2CARS, Compensatory anti-inflammatory syndromeCDC, Centers for disease controlcDNA, Complementary DNACritical illnessHAI, Hospital acquired infectionMODSMODS, Multiple organ dysfunctionsOFI, Organ failure indexPELOD, Pediatric logistic organ dysfunctionPICU, pediatric intensive care unitPrediction of HAIqRT-PCR, quantitative real time PCRQuantitative real time PCRROC, Receiver operating characteristicsTNFαTNFα, Tumor necrosis factor alpha

Identifiers

PMID30455877
PMCPMC6232653
OpenAlexW2898673723

What OpenQuestion holds

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Registered trials

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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.