Evidence map›Paper›PMID 33603303›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2021

Epidemiology, Clinical Characteristics, and Prognostic Factors in Critically Ill Patients with Hematolymphoid Malignancy.

Suhail S Siddiqui, Natesh R Prabu, Harish K Chaudhari, Amit M Narkhede, Satish V Sarode, Ujwal Dhundi, Jigeeshu V Divatia, Atul P Kulkarni

Abstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Understanding Outcomes in Onco-critical Care: The Role of Frailty and Organ Failure.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    Article
  3. Outcomes of Cancer Patients Requiring Non-elective Medical Admission to the Intensive Care Unit of a Tertiary Care Center in India: A 5-year Retrospective Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    Article
  4. Review
  5. Observational
  6. Clinical Outcomes and Determinants of Survival in Patients with Hematologic Malignancies Admitted to Intensive Care Units with Critical Illness.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2024
    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.

Suhail S SiddiquiDepartment of Critical Care Medicine, King George's Medical University, Lucknow, Uttar Pradesh, India.
Natesh R PrabuDepartment of Critical Care Medicine, St John's Medical College, Bengaluru, Karnataka, India.
Harish K ChaudhariArneja Heart Institute, Nagpur, Maharashtra, India.
Amit M NarkhedeDepartment of Critical Care, Jupiter Hospital, Thane, Maharashtra, India.
Satish V SarodeVishwaraj Super Speciality Hospital, Pune, Maharashtra, India.
Ujwal DhundiDepartment of Critical Care and Emergency Medicine, Deenanath Mangeshkar Hospital and Research Center, Pune, Maharashtra, India.
Jigeeshu V DivatiaDepartment of Anaesthesia, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Parel, Mumbai, Maharashtra, India.
Atul P KulkarniDivision of Critical Care Medicine, Department of Anaesthesia, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDespite advances in the field of oncology and intensive care, the outcomes of hematolymphoid malignancy (HLM) patients admitted to ICU are poor. This study was carried out to look at the demographic data, clinical features, and predictors of hospital mortality in these patients. MATERIALS AND

methodsWe prospectively studied 101 adult critically ill patients with HLM admitted to the 14-bedded mixed medical surgical ICU of a tertiary care cancer center. Out of 101 patients, end-of-life care decisions were taken in 7 patients, who were excluded from the outcome analysis. Predictors of in-hospital mortality were evaluated using univariate and multivariate analysis.

resultsThe ICU and in-hospital mortality recorded in our study were 48.9 and 54.3%, respectively. Neutropenia at ICU admission, Simplified Acute Physiology Score III (SAPS III) score, and mechanical ventilation (MV) within 24 hours of ICU admission were associated with in-hospital mortality on univariate analysis. On multivariate logistic regression analysis, neutropenia at ICU admission (OR 4.621; 95% CI, 1.2-17.357) and MV within 24 hours of ICU admission (OR 2.728; 95% CI, 1.077-6.912) were independent predictors of in-hospital mortality.

conclusionThe HLM patients needing critical care have high acuity of illness, and acute respiratory failure is the commonest reason for ICU admission in these patients. In our study, the ICU survival was more than 50% and more than 45% patients were discharged alive from the hospital. We found a need for MV within 24 hours of ICU admission and presence of neutropenia at ICU admission to be independent predictors of hospital mortality in our study. HOW TO CITE THIS ARTICLE: Siddiqui SS, Prabu NR, Chaudhari HK, Narkhede AM, Sarode SV, Dhundi U,

Indexed as

Hematolymphoid malignancyMechanical ventilationMultivariate analysisNeutropeniaPredictors of hospital mortalitySequential Organ Failure Assessment Score (SOFA)Simplified Acute Physiology Score III

Identifiers

PMID33603303
PMCPMC7874294

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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.