Evidence map›Paper›PMID 36439324›Full record

ArticleWorld journal of critical care medicine2022

Scoring systems in critically ill: Which one to use in cancer patients?

Anisha Beniwal, Deven Juneja, Omender Singh, Amit Goel, Akhilesh Singh, Hemant Kumar Beniwal

Open access · diamondAbstract read
In one paragraph

Article in World journal of critical care medicine, 2022. 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
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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
  5. 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
  6. 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

6 authors at 1 institution in 1 country.

Anisha BeniwalInstitute of Critical Care Medicine, Max Super Speciality Hospital, Saket, New Delhi 110017, India.
Deven JunejaInstitute of Critical Care Medicine, Max Super Speciality Hospital, Saket, New Delhi 110017, India. devenjuneja@gmail.com.
Omender SinghInstitute of Critical Care Medicine, Max Super Speciality Hospital, Saket, New Delhi 110017, India.
Amit GoelInstitute of Critical Care Medicine, Max Super Speciality Hospital, Saket, New Delhi 110017, India.
Akhilesh SinghInstitute of Critical Care Medicine, Max Super Speciality Hospital, Saket, New Delhi 110017, India.
Hemant Kumar BeniwalDepartment of Neurosurgery, Dr SNMC Hospital, Jodhpur 342001, India.
Max Super Speciality Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScoring systems have not been evaluated in oncology patients. We aimed to assess the performance of Acute Physiology and Chronic Health Evaluation (APACHE) II, APACHE III, APACHE IV, Simplified Acute Physiology Score (SAPS) II, SAPS III, Mortality Probability Model (MPM) II

aimTo compare the efficacy of seven commonly employed scoring systems to predict outcomes of critically ill cancer patients.

methodsWe conducted a retrospective analysis of 400 consecutive cancer patients admitted in the medical intensive care unit over a two-year period. Primary outcome was hospital mortality and the secondary outcome measure was comparison of various scoring systems in predicting hospital mortality.

resultsIn our study, the overall intensive care unit and hospital mortality was 43.5% and 57.8%, respectively. All of the seven tested scores underestimated mortality. The mortality as predicted by MPM II

conclusionAll the severity scores were tested under-predicted mortality in the present study. As the difference in efficacy and performance was not statistically significant, the choice of scoring system used may depend on the ease of use and local preferences.

Indexed as

APACHE scoreIntensive care unitMedical oncologyScoring systemsSeverity of illness indexSOFA score

Identifiers

PMID36439324
PMCPMC9693908
OpenAlexW4308164255

What OpenQuestion holds

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LicenceCC BY-NC
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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.