Evidence map›Paper›PMID 28904174›Full record

ArticleThe oncologist2017

In-Hospital Outcomes of Tumor Lysis Syndrome: A Population-Based Study Using the National Inpatient Sample.

Urshila Durani, Nilay D Shah, Ronald S Go

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.3field-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.

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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Tumor Lysis Syndrome in Lung Cancer Patients: A Review of the Literature.Asian Pacific journal of cancer prevention : APJCP · 2026
    Review
  6. Article
  7. An uncommon encounter with tumor lysis syndrome in colorectal cancer.German medical science : GMS e-journal · 2026
    Article
  8. Review
  9. Article
  10. Tumour lysis syndrome.Nature reviews. Disease primers · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2023
    Article
  15. Tumour lysis syndrome.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Urshila DuraniDepartment of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Nilay D ShahDivision of Healthcare Policy and Research, Mayo Clinic, Rochester, Minnesota, USA.
Ronald S GoDepartment of Medicine, Mayo Clinic, Rochester, Minnesota, USA go.ronald@mayo.edu.
Mayo Clinic · USMayo Clinic in Arizona · USMayo Clinic in Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epidemiology and outcomes of tumor lysis syndrome (TLS) are understudied. We used the National Inpatient Sample (NIS), a nationally representative weighted sample of all U.S. hospital discharges, to study outcomes and predictors of mortality in hospitalized patients with TLS. The NIS was queried for patients with a discharge diagnosis of TLS (ICD-9 code 277.88) from 2010-2013. Baseline characteristics and outcomes were analyzed. A multivariable logistic regression analysis was performed to identify predictors of mortality. From 2010-2013, 28,370 patients were discharged with a diagnosis of TLS. The most common malignancies were non-Hodgkin lymphoma (30%), solid tumors (20%), acute myeloid leukemia (19%), and acute lymphocytic leukemia (13%). Overall in-hospital mortality was 21%. The median length of stay was 10 days (IQR 5-22). Sixty-nine percent of patients experienced a severe complication, including sepsis (22%, 95% confidence interval [CI] 21-23), dialysis (15%, 95% CI 14-16), acute respiratory failure (23%, 95% CI 22-24), mechanical ventilation (16%, 95% CI 15-17), gastrointestinal hemorrhage (6%, 95% CI 5-7), cerebral hemorrhage (2%, 95% CI 2-3), seizures (1%, 95% CI 0.6-1), and cardiac arrest (2%, 95% CI 2-3). Predictors of mortality were derived from a multivariable logistic regression and included age, Elixhauser comorbidity score, insurance status, teaching versus nonteaching hospital, and cancer type. Predictors of increased length of stay included age, race, teaching versus nonteaching hospital, and cancer type. In the U.S., many patients with TLS develop life-threatening complications and a quarter die during hospitalization. As more cancer treatments become available, strategies to improve the supportive care of patients with TLS should be a priority.

Indexed as

Hospital MortalityAdultAgedFemaleHospitalizationHumansInpatientsLength of StayMaleMiddle AgedNeoplasmsPostoperative ComplicationsRisk FactorsTreatment OutcomeTumor Lysis SyndromeUnited States

Identifiers

PMID28904174
PMCPMC5728022
OpenAlexW2755389242

What OpenQuestion holds

Textmetadata
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.