Evidence map›Paper›PMID 33434221›Full record

Observational studyPloS one2021

Observational cohort study of IP-10's potential as a biomarker to aid in inflammation regulation within a clinical decision support protocol for patients with severe COVID-19.

Shaul Lev, Tamar Gottesman, Gal Sahaf Levin, Doron Lederfein, Evgeny Berkov, Dror Diker, Aliza Zaidman, Amir Nutman, Tahel Ilan Ber, Alon Angel and 16 more

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04389645 (Interferon Gamma Induced Protein 10), which is not on this map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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.

NCT04389645 completednot on this map

Interferon Gamma Induced Protein 10 (IP-10) in a Clinical Decision Support Protocol in COVID-19 Patients

TypeobservationalSponsorMeMed Diagnostics Ltd.Ran2020 to 2020Enrolled52ConditionsCOVID-19ArmsIP-10 in CDS protocol
3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

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  9. [Research advances in genetic polymorphisms in Kawasaki disease].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
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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

26 authors at 3 institutions in 1 country.

Shaul LevIntensive Care Unit, Rabin Medical Center, Petah Tikva, Israel.
Tamar GottesmanSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Gal Sahaf LevinIntensive Care Unit, Rabin Medical Center, Petah Tikva, Israel.
Doron LederfeinRabin Medical Center, Petah Tikva, Israel.
Evgeny BerkovDepartment of Internal Medicine, Rabin Medical Center, Petah Tikva, Israel.
Dror DikerDepartment of Internal Medicine, Rabin Medical Center, Petah Tikva, Israel.
Aliza ZaidmanDepartment of Internal Medicine, Rabin Medical Center, Petah Tikva, Israel.
Amir NutmanSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Tahel Ilan BerMeMed, Haifa, Israel.
Alon AngelMeMed, Haifa, Israel.
Lior KellermanMeMed, Haifa, Israel.
Eran BarashMeMed, Haifa, Israel.
Roy NavonMeMed, Haifa, Israel.
Olga BoicoMeMed, Haifa, Israel.
Yael IsraeliMeMed, Haifa, Israel.
Michal RosenbergMeMed, Haifa, Israel.
Amir GelmanMeMed, Haifa, Israel.
Roy KalfonMeMed, Haifa, Israel.
Einav SimonMeMed, Haifa, Israel.
Noa AvniMeMed, Haifa, Israel.
Mary HainrichsonMeMed, Haifa, Israel.
Oren ZarchinMeMed, Haifa, Israel.
Tanya M GottliebMeMed, Haifa, Israel.
Kfir OvedMeMed, Haifa, Israel.
Eran EdenMeMed, Haifa, Israel.
Boaz TadmorRabin Medical Center, Petah Tikva, Israel.
MeMed (Israel) · ILRabin Medical Center · ILTel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTreatment of severely ill COVID-19 patients requires simultaneous management of oxygenation and inflammation without compromising viral clearance. While multiple tools are available to aid oxygenation, data supporting immune biomarkers for monitoring the host-pathogen interaction across disease stages and for titrating immunomodulatory therapy is lacking.

methodsIn this single-center cohort study, we used an immunoassay platform that enables rapid and quantitative measurement of interferon γ-induced protein 10 (IP-10), a host protein involved in lung injury from virus-induced hyperinflammation. A dynamic clinical decision support protocol was followed to manage patients infected with severe acute respiratory syndrome coronavirus 2 and examine the potential utility of timely and serial measurements of IP-10 as tool in regulating inflammation.

resultsOverall, 502 IP-10 measurements were performed on 52 patients between 7 April and 10 May 2020, with 12 patients admitted to the intensive care unit. IP-10 levels correlated with COVID-19 severity scores and admission to the intensive care unit. Among patients in the intensive care unit, the number of days with IP-10 levels exceeding 1,000 pg/mL was associated with mortality. Administration of corticosteroid immunomodulatory therapy decreased IP-10 levels significantly. Only two patients presented with subsequent IP-10 flare-ups exceeding 1,000 pg/mL and died of COVID-19-related complications.

conclusionsSerial and readily available IP-10 measurements potentially represent an actionable aid in managing inflammation in COVID-19 patients and therapeutic decision-making.

trial registrationClinicaltrials.gov, NCT04389645, retrospectively registered on May 15, 2020.

Indexed as

Decision Support Systems, ClinicalAdultAgedAged, 80 and overBiomarkersChemokine CXCL10COVID-19FemaleHumansMaleMiddle AgedPractice Guidelines as TopicBiomarkersChemokine CXCL10CXCL10 protein, human

Identifiers

PMID33434221
PMCPMC7802954
OpenAlexW3121109439

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.