Question · asked by 1 review

Interferon‐α alone vs standard targeted therapies: QoL

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Interferon‐α alone vs standard targeted therapies (sunitinib or temsirolimus)
QoL FACT‐G · previously untreated patients with mRCC
Immunotherapy for metastatic renal cell carcinoma (2017) · Cochrane Headline outcomes only
no estimate extracted1 study · 730 participantsLow
Interferon‐α alone vs standard targeted therapies (sunitinib or temsirolimus)
QoL FKSI‐15 · previously untreated patients with mRCC
Immunotherapy for metastatic renal cell carcinoma (2017) · Cochrane Headline outcomes only
no estimate extracted1 study · 730 participantsLow
Interferon‐α alone vs standard targeted therapies (sunitinib or temsirolimus)
QoL FKSI‐DRS · previously untreated patients with mRCC
Immunotherapy for metastatic renal cell carcinoma (2017) · Cochrane Headline outcomes only
no estimate extracted1 study · 730 participantsLow
Interferon‐α alone vs standard targeted therapies (sunitinib or temsirolimus)
QoL EQ‐5D · previously untreated patients with mRCC
Immunotherapy for metastatic renal cell carcinoma (2017) · Cochrane Headline outcomes only
no estimate extracted2 studies · 1002 participantsLow
Interferon‐α alone vs standard targeted therapies (sunitinib or temsirolimus)
QoL EQ‐VAS · previously untreated patients with mRCC
Immunotherapy for metastatic renal cell carcinoma (2017) · Cochrane Headline outcomes only
no estimate extracted2 studies · 1002 participantsLow

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Immunotherapy for metastatic renal cell carcinoma
2017 · Cochrane Headline outcomes only
Not reportedlist not extracted yetNot assessed

Studies behind the findings

None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.

How reviews are matched to this question

Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.